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tpool 招聘数据 MCP

tpool_meta

tpool 平台概况:实时统计(在招岗位/企业/校招公告/简历数量)、平台立场与使用贴士、技能包清单。

接入后建议第一条调用,先弄清平台有什么、再决定怎么检索。免 key。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations the description carries the full behavioral burden, and it discloses the key operational fact an agent needs: 'no key required' (免 key), implying an unauthenticated, side-effect-free read. For a zero-argument read-only meta call the remaining behavioral surface is minimal, so this is adequate.

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?

Two compact sentences: the first front-loads what the tool returns, the second front-loads how to use it. No filler, no repetition of the name.

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 zero-param, no-output-schema tool, the description must itself convey the return content, and it does (statistics, stance, tips, skill list) plus the auth requirement and recommended call ordering. Nothing an agent needs to invoke it correctly is absent.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4. There is no parameter to describe and the empty schema is self-consistent; nothing is added or missing.

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 names a specific resource (platform overview) and enumerates exactly what it returns: real-time statistics, platform stance/usage tips, and a skill-package list. An agent can tell this is a meta/introspection tool distinct from the search siblings, though it does not explicitly draw the boundary against tpool_code_of_conduct or tpool_my_quota.

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

Usage Guidelines4/5

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

It states a concrete usage rule: 'after connecting, recommended first call, understand what the platform has, then decide how to search.' This clearly tells the agent when to invoke it (before searching). It stops short of stating exclusions or naming an alternative to use instead.

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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