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cadi27tech

adrian-capraru-mcp

Profile

get_profile
Read-onlyIdempotent

Retrieve a consultant's full professional profile: positioning, roles, highlights, skills, education, languages, availability, and contact links for hiring evaluation.

Instructions

Positioning, summary, every role with highlights and key figures, location and remote terms, what he is open to, languages, education, skills and links (site, CV PDF, LinkedIn, GitHub, Upwork).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety and cacheability are covered. The description adds that this is a single full-dump call covering all profile facets (no filtering or pagination mentioned), which is useful, but it says nothing about response shape, size, or freshness.

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 sentence, front-loaded with the highest-value items (positioning, summary, roles) and then the long tail. It is a fragment without an explicit verb, and the trailing link list is slightly padded, but every clause maps to real returned content.

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?

With no output schema and no parameters, the description carries the burden of telling the agent what comes back, and it does so thoroughly across all facets. Only the structure of the returned object (flat fields vs. nested sections) and overall size are left unspecified.

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 there is nothing for the description to clarify; baseline 4 applies. The field enumeration helpfully signals what comes back even though no inputs exist.

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 enumerates exactly what the tool returns (positioning, summary, roles, location, availability, languages, education, skills, links), so the resource is unmistakable and it identifies the subject as a personal profile ('what he is open to'). It does not explicitly differentiate from siblings like list_services or how_to_hire, but the enumerated content already makes overlap unlikely.

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?

Usage is only implied: an agent can infer this is the entry point for background/about-the-person information. There is no explicit 'use this when...' or exclusion such as 'for availability use check_availability' or 'for engagement terms use how_to_hire', despite those siblings being the most likely confusion points.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.