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Darko893/haunt-mcp-server (@hauntapi/mcp-server)

hauntapi-mcp-server · v1.1.2 · scanned

What changed in the harness

Selection accuracy 98→95, token cost down 0%, unconfirmed writes 100%→100%.

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

30.0 / 30

30.0 out of 30
02Legibility

27.8 / 30

27.8 out of 30
03Economics

19.8 / 20

19.8 out of 20
04Discoverability

16.5 / 20

16.5 out of 20

Highest-impact fix

Estimated gain +4 points

Make target tools discoverable on the first call

Clarify tool names, decision boundaries, and required argument schemas so an agent can choose and construct the target call without exploratory steps.

Description evidence

Defects and rewrites.

2 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
company_profile
no_return_description
Return a structured profile of a company from its website URL, including what the company does, its product, and the contact and social details published on the site. Reads the live site rather than a stale third-party database. Costs no credits. Requires HAUNT_API_KEY environment variable.
get_usage
no_return_description
Return the current Haunt usage summary as a JSON object containing the plan, monthly credit limit, used credits, reserved credits, and remaining credits. Read-only. Requires HAUNT_API_KEY environment variable.

Selection evidence

Confusable tool pairs.

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

Tool A Tool B Confidence Why they collide
extract extract_article medium A task like 'get the title and full text of this article' could be satisfied either by the general-purpose extract with a prompt or by the article-specific shortcut, which the extract description itself recommends. An agent not carefully reading the shortcut pointer may pick the wrong one.
extract extract_markdown medium A task like 'convert this page to Markdown' is ambiguous because extract accepts response_format=markdown/md, so an agent may call extract rather than the dedicated extract_markdown, or vice versa, especially when the user says 'get the markdown of the page' without naming a tool.
extract extract_metadata medium A task like 'get the title and description of this page' could be handled either by extract with a plain-English prompt or by the dedicated metadata shortcut, since both return page-head-derived info; the agent may pick either without functional clarity.
extract_markdown extract_article medium Both return the readable text content of a page. A task like 'extract the main content of this blog post' is ambiguous between article-structured JSON (title/body/author/date) and clean Markdown, and neither description definitively rules out the other.
extract_article extract_metadata low Marginal overlap: both return title, and both descriptions point users away from the (nonexistent) extract_url. A task like 'get the title and publish date of this post' could plausibly route to either article fields or meta tags, though article structure usually disambiguates.
try_demo_extract extract low A user saying 'try extracting this URL' or 'test extraction without an API key' could steer an agent toward the demo tool, which takes no URL and only returns demo/signup links, because its name and 'try first' framing resemble real extraction. Unlikely for careful agents but plausible.

Compare the field

One score is useful.
The evidence makes it actionable.

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