Skip to main content
Glama

Score Findings

score

Assess production readiness by computing a deterministic score from your findings and optional coverage data.

Instructions

Compute the deterministic Production Reality Score from findings and optional coverage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
findingsYes
coverageNo
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions 'deterministic' but does not explain side effects, permissions required, or what the score represents. The description is too brief to ensure transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, making it concise. However, it uses the jargon 'Production Reality Score' without definition, which may hinder an agent's understanding. It is appropriately short but could be more accessible.

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 the complexity of two object parameters and no output schema, the description is incomplete. It lacks explanation of what the score is, how findings and coverage are structured, and what the return value contains.

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%, and the description adds minimal value beyond field names. It indicates findings is required and coverage is optional, but does not explain the structure or expected format of these objects, which are nested.

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 clearly states the verb 'Compute' and the specific resource 'deterministic Production Reality Score', with inputs 'findings and optional coverage'. However, it does not explicitly differentiate from sibling tools like 'coverage_check' or 'coverage_emit', which could be related.

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?

The description provides no guidance on when to use this tool versus alternatives. It merely states what it does, without any context on appropriate usage scenarios or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KyaniteLabs/checkyourself'

If you have feedback or need assistance with the MCP directory API, please join our Discord server