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buscar_experiencias

Search a professional profile's work history by company, role, or technology so AI agents can retrieve matching experience entries.

Instructions

Busca experiências profissionais por empresa, cargo ou tecnologia

Input Schema

NameRequiredDescriptionDefault
termoYesTermo de busca (empresa, cargo ou tecnologia)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and discloses nothing beyond the one-line purpose. It says nothing about result ordering, matching semantics (partial vs exact), pagination, or the read-only nature of the operation.

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 front-loaded sentence with no filler or redundancy. It is efficient, though the extreme brevity is a function of under-specification rather than disciplined editing.

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?

For a one-parameter search with no output schema and no nested objects, the description covers the minimum an agent needs to invoke it. It is still thin given the absence of annotations, leaving matching behavior and result shape undocumented.

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

Parameters3/5

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

Schema description coverage is 100% and the single "termo" parameter is documented in the schema as "Termo de busca (empresa, cargo ou tecnologia)". The description merely repeats that same facet list, adding no syntax or matching-rule detail, so the baseline 3 applies.

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 states a specific verb and resource ("Busca experiências profissionais") and names the three searchable facets (empresa, cargo, tecnologia). This makes it distinguishable from siblings in principle, but it never explicitly says how it differs from buscar_projetos, so sibling differentiation is left to inference.

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?

There is no guidance on when to use this tool versus buscar_projetos or the listar_* siblings, and no prerequisites or exclusions are stated. The agent must infer the routing decision entirely.

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