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Manto — 馒头新闻

search

Search published news and messages; sponsored and organic results are returned separately

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
sinceNo
include_contentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses one useful trait – sponsored and organic results are returned separately – but says nothing about pagination, rate limits, auth requirements, or result ordering.

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?

A single front-loaded sentence with no filler; the result-shape detail is appended efficiently. It is terse but not padded.

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?

For a four-parameter tool with no annotations, no output schema, and 0% parameter documentation, the description leaves too much unspecified. The agent cannot tell how to shape query filters or interpret the two result streams.

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?

Schema description coverage is 0% across four parameters (query, limit, since, include_content), and the description adds no meaning for any of them. There is no hint of format for 'since', units for 'limit', or what 'include_content' toggles.

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?

States a specific verb (Search) and resource scope (published news and messages), and adds a distinguishing detail that sponsored and organic results come back separately. No sibling tool is a competing search, so sibling differentiation is moot; the purpose itself is unambiguous.

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?

There is no statement of when to use this tool versus alternatives such as lookup_account or list_account_articles, and no prerequisites or context. Usage is only implied by the verb 'Search'.

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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