Full-text search across archived video transcripts.
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"q": "<q>"
},
"name": "search_transcripts"
}
}| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | ||
| page | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only identifies the basic operation and target corpus; it does not mention pagination behavior, query syntax, rate limits, authentication, or what fields the results contain.
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?
The description is a single front-loaded sentence with no filler or repetition. It is appropriately concise for a simple two-parameter search tool, though it sacrifices some behavioral detail.
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 straightforward search tool, the essential scope is stated, but with no output schema and no annotations, the description omits return value structure and any usage caveats. It is minimally complete but leaves notable gaps for an agent trying to predict results.
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 needs to compensate, but it only implies that 'q' is the search query. The 'page' parameter is not addressed at all, and meaning is mostly inferred from property names and the default value rather than described.
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?
The description states a specific action (full-text search) and a clear resource (archived video transcripts), making the tool's purpose immediately clear. It also distinguishes itself from sibling tools like search_meetings and search_officers by targeting transcripts specifically.
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?
The description implies the tool is for finding content within archived video transcripts, giving a clear context of use. However, it does not explicitly state when to prefer it over alternatives such as search_meetings or search_officers, nor does it mention exclusion criteria.
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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