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RipperMercs/tensorfeed (@tensorfeed/mcp-server)

tensorfeed-mcp-server · v2.0.3 · scanned

What changed in the harness

Selection accuracy 88→88, token cost down 0%, unconfirmed writes 0%→0%.

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

0.0 / 30

0.0 out of 30
02Legibility

23.2 / 30

23.2 out of 30
03Economics

12.8 / 20

12.8 out of 20
04Discoverability

17.5 / 20

17.5 out of 20

Highest-impact fix

Estimated gain +30 points

Add explicit identity and permission preflight tools

Expose machine-readable principal/tenant confirmation and a non-mutating permission check so agents can verify both before destructive actions.

Description evidence

Defects and rewrites.

3 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
list_watches
name_restates_behavior no_return_description
List the active webhook watches owned by the configured TensorFeed token, returning each watch's id, type, callback URL, and trigger configuration so you can audit or target them for deletion. Free, requires TENSORFEED_TOKEN.
create_watch
no_return_description
Register a webhook watch (type: price, status, digest, or leaderboard_rank) and return the created watch's id and configuration for later lookup or deletion; the watch lives 90 days and each fire delivers an HMAC-signed POST to callback_url. Costs 1 credit ($0.02) at registration. Needs a TENSORFEED_TOKEN.
delete_watch
no_return_description
Delete one of your active webhook watches by id, returning a confirmation that the watch was removed (or an error if the id was not found or not owned by this token). Free, requires TENSORFEED_TOKEN.

Selection evidence

Confusable tool pairs.

13 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
x402_settlement_verdict x402_publisher_verdict medium Both are signed x402 verdicts; a task like 'check trust for the tavily x402 feed' could be routed to the market-wide settlement tool instead of the publisher-specific one that actually requires a domain.
pricing_series benchmark_series medium Identical shape (daily series for one model over a window, same day/credit tiers) — a vague task like 'how has Claude Opus trended over the last 30 days' doesn't specify price vs. benchmark score, risking the wrong series tool.
route_verdict failover_verdict high Both return a signed 'best model/provider' decision; a task like 'what should I route to since Anthropic is degraded' could be satisfied by either the general router or the failover-specific tool that excludes the degraded provider.
status_uptime status_leaderboard medium Both report uptime over a day window; 'show me provider uptime over 30 days' is ambiguous between the single-provider rollup (status_uptime, needs provider) and the cross-provider ranking (status_leaderboard, no provider param).
benchmark_trust_verdict benchmark_series low Both take a benchmark name and return benchmark-related scores, but one judges the benchmark's trustworthiness while the other tracks a model's score trend — a loosely worded 'how good is swe-bench lately' could tempt either.
get_ai_status account_status low Both are literally named '*status'; a terse task like 'check my status' could momentarily be misrouted to the AI-provider status tool instead of the user's own account/credit tool.
get_ai_status status_leaderboard medium 'Which AI provider is most reliable right now' plausibly maps to either the real-time operational rollup (get_ai_status) or the historical uptime ranking (status_leaderboard), since both cover provider health.
get_ai_status status_uptime medium A task like 'what's OpenAI's status' is ambiguous between the current real-time operational check (get_ai_status) and the historical daily uptime rollup for one provider (status_uptime).
get_model_pricing compare_models medium 'Compare pricing of Claude and GPT-5.5' could invoke the raw cross-provider pricing table or the dedicated compare_models tool that also bundles pricing among other signals.
get_model_pricing pricing_series medium 'What's the price of Claude Opus' is ambiguous between the current cross-provider snapshot (get_model_pricing) and the daily price history for one model (pricing_series).
provider_reliability_verdict failover_verdict high Both rule on which provider is most dependable; 'which provider should I use since X is having issues' could trigger the general reliability ranking instead of the failover tool built for that exact live-degradation scenario.
provider_reliability_verdict provider_deepdive medium 'Tell me how reliable/dependable Anthropic is' could route to the signed reliability verdict or to the broader provider_deepdive bundle that also includes status and reliability-adjacent data.
route_verdict provider_reliability_verdict medium Both fuse latency/p95 and produce a signed 'best X' verdict; a task like 'what should I use right now' doesn't clarify whether the unit of choice is a model (route_verdict) or a provider (provider_reliability_verdict).

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