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Pavan Madduri — Personal Knowledge MCP Server

by pmady

get_profile_summary

Retrieve a comprehensive one-page summary of Pavan Madduri's professional profile, including certifications, articles, and GitHub activity, for AI agents that need a quick overview.

Instructions

Get a comprehensive one-page summary of Pavan Madduri's professional profile. Ideal for AI agents that need a quick overview.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but only states it returns a summary. It does not disclose data freshness, caching behavior, authentication requirements, or what exactly the summary includes (e.g., skills, experience).

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 concise sentences that front-load the core action and provide a use case. No unnecessary words.

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?

While the tool has no parameters and an output schema exists, the description lacks detail on the summary's content areas (e.g., education, work history). It is adequate but could be more complete.

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?

There are no parameters, so the schema coverage is 100%. The description adds no parameter meaning, but baseline for zero-parameter tools is 4, and no further information is needed.

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 clearly states the tool retrieves a comprehensive one-page summary of a specific person's profile, distinguishing it from sibling tools that focus on evidence, expertise, or GitHub data.

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

Usage Guidelines3/5

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

The phrase 'Ideal for AI agents that need a quick overview' implies usage context but does not explicitly specify when not to use this tool or provide alternative tool names for more detailed queries.

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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