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priya2001

Priya Gautam MCP Server

by priya2001

get-profile

Retrieve a compact overview of Priya Gautam's professional profile, including skills, experience, projects, education, and MCP compatibility in a single call.

Instructions

Get a compact overview of Priya Gautam's profile, skills, experience, projects, and MCP compatibility.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the scope of what's returned (profile, skills, experience, projects, MCP compatibility) which is helpful behavioral context. However, it doesn't indicate whether the data is read-only, real-time vs cached, or whether any authentication is needed. 'Compact' hints at truncated output but doesn't specify limits or pagination.

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?

Single sentence, zero wasted words. Front-loads the primary purpose ('Get a compact overview of Priya Gautam's profile') and then enumerates the covered content types. Perfectly concise for a zero-parameter tool.

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

Completeness4/5

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

For a simple zero-parameter tool with no output schema, the description covers the key aspects: who (Priya Gautam), what kind (compact overview), and what domains (profile, skills, experience, projects, MCP compatibility). The 'compact' qualifier is useful but could benefit from a note about what 'MCP compatibility' means in this context. Given the tool's low complexity, this is largely 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 0 parameters and 100% schema coverage (the schema is trivially empty). With 0 params, the baseline is 4. The description doesn't need to add parameter semantics since none exist. It correctly describes what the tool does with no inputs.

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?

Clear verb+resource: 'Get a compact overview' of a specific person's profile covering skills, experience, projects, and MCP compatibility. The scope is specific and well-defined. It distinguishes from siblings like get-skills and get-projects by noting it's a 'compact overview' rather than a section-specific fetch.

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?

The description signals this is the broad aggregate view versus the section-specific sibling tools (get-skills, get-projects, etc.). While it doesn't explicitly say 'use this instead of the section tools for a full picture', the 'compact overview' language plus siblings implicitly establishes usage context. Missing explicit when-not 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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