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get_api
Read-onlyIdempotent

Full entry for one service: docs, auth scheme and how the credential is sent, base URL, operations, MCP endpoint or repository (a repository must be installed; a docs-only server does not call the API), free plan vs trial, rate limits, data policy, notes, last-checked dates, link check, and separate signals: uptime (our availability probes of base URL and MCP endpoint), mcp_repo (archived, last push), mcp_registry (installs), product_reviews (rating, count, date range), sdk_downloads (official npm/PyPI SDKs per month), stackoverflow (question count), app_store (the vendor's iOS app) and github_issues (open vs resolved issues, median days to fix and issue_health 0-100 of the SDK, MCP and spec repos), each with its fetch date. Values carry the vendor page they were read from and a check date.

Input Schema

NameRequiredDescriptionDefault
idYesService id from search_apis

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive, non-open-world. The description goes well beyond them by disclosing data provenance ('Values carry the vendor page they were read from and a check date'), freshness metadata, and the key operational caveat that a docs-only server does not call the API. That is genuine extra context for a read tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the remainder is one sprawling sentence with nested parentheticals that enumerates every returned field. Given there is no output schema the enumeration earns its place, yet the structure is hard to scan and the lists would read far better as bullets.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the full burden of describing return values, and it does so comprehensively: top-level entry fields plus the signal blocks (uptime, mcp_repo, mcp_registry, product_reviews, sdk_downloads, stackoverflow, app_store, github_issues) with their metrics and fetch dates. An agent knows what it will get.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the sole parameter ('id', with 'Service id from search_apis') is already fully documented in the schema. The description adds no syntax, format, or sourcing detail about the id, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Opens with a concrete verb+resource: 'Full entry for one service', which clearly contrasts with the sibling search_apis (list) and get_reviews (one signal). However, it never names a sibling or explicitly states the single-service scope as a differentiator, so an agent must infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use / when-not-to-use guidance. The parenthetical about a repository needing installation versus a docs-only server is a behavioral caveat, not a routing rule, and no alternative tool is mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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