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education

Rahul's educational qualifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations present, the description carries the full burden of behavioral disclosure, yet 'Rahul's educational qualifications' only labels the content and says nothing about read-only behavior, side effects, permissions, or limitations. It is not misleading, but it provides no behavioral transparency beyond the tool's name.

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 tightly written four-word phrase with no filler, front-loading the core information. For a zero-parameter tool, this level of concision is appropriate.

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

Completeness3/5

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

The description is adequate for a simple no-parameter data view, and an output schema exists to define the return shape. However, it lacks any explicit relationship to sibling tools and does not clarify whether this covers degrees, certifications, or academic dates, leaving moderate ambiguity for an agent deciding between education and experience.

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 has zero parameters and 100% schema coverage (empty object), so there is no parameter semantic burden for the description to carry. The baseline of 4 applies because no parameter information is needed.

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 identifies the resource as 'Rahul's educational qualifications,' which is clear and distinguishes the tool from work-experience siblings like experience. It lacks an explicit verb (e.g., 'retrieves'), so it does not quite meet the top bar, but it is not a tautology and is unlikely to be confused with patents or projects.

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 usage guidance is provided: the description does not state when to choose education over experience, skills, or overview, nor does it mention any exclusions or alternatives. The only implied context is the word 'education,' which alone is insufficient guidance.

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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