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search_altss_data_agent_docs
Read-onlyIdempotent

Search across the Altss Data & Agent Docs knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Altss Data & Agent Docs, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to head or cat the page path (append .mdx to the path returned from search — e.g. a result at /some/page is read with head -200 /some/page.mdx).

Tool call template

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": {
      "query": "<query>"
    },
    "name": "search_altss_data_agent_docs"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesSearch query

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare this is read-only, idempotent, non-destructive, and closed-world. The description adds useful behavior beyond that: results include contextual content, titles, and direct links, and it explains how to follow up for full page content. It does not discuss ranking or result limits, but the annotations carry the safety profile.

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?

The purpose is front-loaded and the follow-up instructions are useful rather than redundant. The `.mdx` example is slightly verbose, but it earns its place by preventing a concrete invocation mistake with the sibling tool.

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

Completeness5/5

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

For a single-parameter search tool with no output schema, the description covers purpose, when to use it, what results look like, and how to continue to full content via the sibling tool. It provides everything an agent needs to select and follow up correctly.

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 coverage is 100% for the single query parameter, so the schema already defines the only input. The description implies a free-text knowledge-base search but does not add syntax, operators, or query formatting guidance beyond what the schema provides.

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

Purpose5/5

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

The description states a specific verb and resource: search across the Altss Data & Agent Docs knowledge base. It clarifies the content types returned (information, code examples, API references, guides) and distinguishes this lookup tool from the sibling that reads full page content.

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

Usage Guidelines5/5

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

It explicitly names when to use this tool: answering questions about Altss Data & Agent Docs, finding documentation, understanding features, or locating implementation details. It also routes the agent to query_docs_filesystem when full page content is needed, including the exact path transformation.

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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