search_tools
Search published free and open-source AI tools on OpenFree. Filter by category/tag slug; results are paginated, up to 25 per page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | ||
| tag | No | ||
| page | No | ||
| limit | No | ||
| locale | No | en | |
| category | No |
Search published free and open-source AI tools on OpenFree. Filter by category/tag slug; results are paginated, up to 25 per page.
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | ||
| tag | No | ||
| page | No | ||
| limit | No | ||
| locale | No | en | |
| category | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and non-destructive, so safety is covered. The description adds real value beyond that: only 'published' tools are returned, results are paginated, and page size is capped at 25. It says nothing about ordering, relevance ranking, or how empty results behave.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two tightly packed sentences with zero filler; the core purpose is front-loaded and the filtering/pagination constraints follow in priority order.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 6-parameter tool with no output schema and no parameter descriptions in the schema, the description leaves meaningful holes: the semantics of the required `q`, the purpose of `locale`, and whether tag and category combine or are mutually exclusive. Adequate to make a call, not adequate to make it confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must carry parameter meaning. It successfully explains that tag/category are slugs and that limit is capped at 25 per page, but leaves the required `q` parameter's semantics entirely unaddressed and never mentions `locale` or `page` at all.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource+scope: 'Search published free and open-source AI tools on OpenFree.' This clearly distinguishes it from get_tool (single item retrieval) and list_categories/list_tags (enumeration). It doesn't explicitly name those siblings, but the search-vs-enumerate distinction is inferable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by 'Search ... Filter by category/tag slug', but there is no explicit statement of when to reach for this versus list_categories or list_tags, nor any note on prerequisites. An agent must infer the routing itself.
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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