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Performance Review Generate

performance_review_generate
Read-onlyIdempotent

Generate a satirical corporate performance review for an employee; takes employee_name, role, rating (rockstar/solid/developing/not_a_culture_fit), actual_performance, and what_manager_wants_to_say — returns review text that communicates nothing clearly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNo
ratingNo
employee_nameYes
actual_performanceNo
what_manager_wants_to_sayNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoStatus of review generation
review_textNoGenerated performance review document text

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. Description adds that the output 'communicates nothing clearly', explaining the satirical nature. No contradictions.

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 front-loads the core purpose and all key parameters, with no wasted words. Efficient and clear.

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

Completeness5/5

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

Given output schema exists (context signal), the description's brief statement about return value is sufficient. All parameters are identified, and the tool's behavior is adequately described for its complexity.

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?

Schema description coverage is 0%, so description must compensate. It lists all five parameters (employee_name, role, rating, actual_performance, what_manager_wants_to_say) and implies their roles through the overall purpose. The description adds context beyond the plain schema properties.

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?

Description clearly states it generates a satirical corporate performance review, specifying the verb 'generate' and resource 'performance review'. The tool is unique among siblings; no other sibling tool generates reviews.

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?

Description implies the tool is for generating satirical reviews but does not explicitly state when to use vs alternatives, nor provide exclusions or alternative conditions. Sibling context shows no similar tool, leaving use case implicit.

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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