search_documents
Find documents by content and title to help AI assistants locate relevant information.
Instructions
Search documents by content and title.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query string |
Find documents by content and title to help AI assistants locate relevant information.
Search documents by content and title.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query string |
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no matching semantics (exact vs fuzzy), ranking, pagination, result limits, or permission requirements. For a search tool with zero annotation coverage this is a notable gap.
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?
A single short sentence, front-loaded and free of filler. It is not under-specified to the point of uselessness, but it is too terse to earn a 5.
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?
The tool is simple (one required string param, no nested objects), so minimal description is defensible, but with no output schema the return shape (list of documents? ranked hits?) is left unspecified and the description never addresses it.
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 100% for the single 'query' parameter, so the baseline is 3. The description adds only that the query matches content and title, which is marginally useful context beyond the schema's bare 'Search query string'.
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 clear verb+resource (search documents) and the fields searched (content and title). It does not distinguish itself from siblings like list_documents or read_document, so an agent gets no routing signal from the description alone.
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?
No indication of when to use this versus list_documents, read_document, or query_database. The only implicit hint is that it is a search rather than a list, but no conditions or alternatives are named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.