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Tools for Agents

by io.github.max124vip-dev
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agent_research

Research: search → extract → summarize.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_sourcesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / properties / max_sentences
      Removed value: -{
-  "default": 5,
-  "type": "integer"
-}
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description discloses the sequential workflow (search, extract, summarize), which is a useful behavioral trait. However, with no annotations, it does not mention any side effects, costs, rate limits, or error behavior, so transparency remains limited.

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

Conciseness5/5

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

The description is a single concise sentence that effectively communicates the high-level process without unnecessary words. It is well-structured and front-loaded.

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

Completeness2/5

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

The description is too sparse for a tool with no annotations and no output schema. It does not explain the output format, how many sources are used, or how the parameters control the pipeline, leaving significant gaps for an agent to use it correctly.

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

Parameters1/5

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

The input schema has two parameters with no descriptions, and the description provides no explanation of 'query' or 'max_sources'. With 0% schema coverage, the description fails to compensate, leaving the agent without meaningful parameter semantics.

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?

The description clearly states the tool's function as a research pipeline (search → extract → summarize), which distinguishes it from single-step tools. However, it does not explicitly differentiate it from the similar sibling tool 'research_topic'.

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

Usage Guidelines2/5

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

No guidance is provided on when this tool should be chosen over alternatives like research_topic or a combination of web_search, extract_url, and summarize_text. The description lacks any contextual cues for usage.

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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