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shanewiseman

paperclip-mcp

by shanewiseman

Evaluate a company skill policy decision

pc_post_companies_by_company_id_skill_policy_evaluate

Determine if a skill policy operation (create, import, edit, etc.) is authorized for a company, providing resource and agent details for evaluation.

Instructions

Evaluate a company skill policy decision

Paperclip operation: POST /api/companies/{companyId}/skill-policy/evaluate. Authorization class: board_or_agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
headersYes
encodingYes
status_codeYes
content_typeYes
Behavior2/5

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

Annotations provide readOnlyHint=false, openWorldHint=true, etc. Description adds only endpoint and auth class, not explaining side effects or what evaluation entails. Does not disclose behavioral traits beyond annotations.

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?

Description is brief (two sentences plus endpoint info) and front-loaded, but could be more informative without being verbose.

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

Completeness2/5

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

Given complexity (nested input, output schema exists), description is insufficient. No mention of return values, prerequisites, or behavior beyond the endpoint.

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

Parameters2/5

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

Schema description coverage is 0%. Description does not explain any parameter meaning or usage, leaving the agent to infer from names and enums only.

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?

Title and description clearly state 'Evaluate a company skill policy decision'. The verb 'evaluate' and resource are specific. However, no explicit differentiation from sibling tools (get/put/delete policy) is provided.

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?

No guidance on when to use this tool versus alternatives. Description lacks context for appropriate use cases or exclusions.

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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