Skip to main content
Glama

summary

Get a quick dashboard overview of code findings: open/resolved counts, severity breakdown, top categories, hottest files, and deferred counts for immediate orientation.

Instructions

Dashboard overview — open/resolved counts, severity breakdown, top categories, hottest files, deferred counts. Start here for orientation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.2.2

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of conveying behavior. 'Dashboard overview' plus the listed data fields strongly implies a read-only, side-effect-free report, and 'Start here' adds orientation context. It could be even more explicit about safety, but the wording is sufficient for a zero-parameter summary.

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?

The description is a single front-loaded sentence that lists concrete contents and ends with a guidance phrase. Every part earns its place, with no filler or repetition.

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

Completeness4/5

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

Given zero parameters, an output schema, and no annotations, the description provides enough context for an agent to know what this tool returns and when to start with it. It lacks only explicit sibling differentiation and alternative routing, which would make it fully complete.

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?

The tool has zero parameters, so the input schema fully covers semantics. Per the rubric baseline for zero-parameter tools, this is appropriate; there are no parameter details for the description to add.

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 identifies the tool as a dashboard overview and enumerates the exact metrics it provides (open/resolved counts, severity breakdown, top categories, hottest files, deferred counts). It is explicit about what the tool reports, though it does not explicitly contrast itself with sibling tools like stats or query.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Start here for orientation' clearly advises when to use this tool as an entry point. However, it does not mention specific alternatives or when not to use it, so it stops short of full exclusion guidance.

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

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/faxik/codebugs'

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