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FreeToken — LLM API discovery

search_models

Read-onlyIdempotent

Filter the published catalog (substring search, not a benchmark or guarantee of free access). Returns exact provider/model slugs for subsequent tools, conditions, dates and source links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
localeNo
protocolNo
providerNo
accessTypeNo
minContextTokensNo

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 cover read-only, idempotent, non-destructive and closed-world, so the description is free to add the genuinely useful caveats: matching is substring-based, results are not a benchmark or a promise of free access, and each hit includes conditions, dates and source links. It omits anything about the limit/pagination behavior, which keeps it below a 5.

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

Conciseness4/5

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

Two dense sentences with no filler, and the core purpose is front-loaded ahead of the caveat. The trailing list 'conditions, dates and source links' is slightly compressed and cryptic, but nothing is wasted.

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

Completeness3/5

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

With no output schema the description does sketch the return shape (slugs plus conditions, dates, source links), and annotations cover the safety profile. However, for a 7-filter search tool with zero parameter documentation, an agent still lacks guidance on how to compose filters or what limit does.

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

Parameters2/5

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

Schema description coverage is 0% across 7 parameters, so the description must carry the burden, yet it explains only the implicit substring behavior of the query. limit, locale, minContextTokens, provider and accessType are left entirely to bare type/pattern/enum definitions, and no default or interaction between filters is described.

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?

States a concrete verb and resource: 'Filter the published catalog', and clarifies it is a substring search. It also tells the agent what comes back (exact provider/model slugs), which distinguishes it functionally from cost/route/guide siblings, though it never names a sibling explicitly.

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

Usage Guidelines3/5

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

Usage is only implied — the phrase 'for subsequent tools' suggests it is a lookup step preceding other calls, but there is no explicit 'use this when' or 'do not use this when'. The aside 'not a benchmark or guarantee of free access' guards against misuse of results rather than guiding tool selection.

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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