Skip to main content
Glama

get_scores

List all scores recorded for a given engagement to evaluate AI security test results.

Instructions

List all scores recorded so far within an engagement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engagement_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
errorNo
successYes
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 burden. It only says 'list all scores', missing critical behavioral details such as whether it is read-only, any side effects, or data freshness guarantees. The lack of transparency is a significant gap.

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 concise sentence, but it is overly terse. It could include additional useful information without being verbose, so it achieves only a moderate score.

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?

While an output schema exists (reducing the need to describe return values), the description lacks essential context such as when scores are available, any prerequisites, or the scope of 'within an engagement'. The tool is simple, but the description still falls short.

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 does not explain the parameter 'engagement_id' at all. It adds no meaning beyond the schema's type and title, failing to compensate for the lack of schema descriptions.

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 'list' and resource 'scores' with the scope 'within an engagement'. It effectively communicates the tool's action and context, though it does not distinguish from sibling tools like list_findings.

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, nor any conditions or prerequisites. It simply states what it does without context on appropriate usage scenarios.

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/Vectorindia1/pyritmcp'

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