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AndreyBegma

smart-glitchtip-mcp

by AndreyBegma

get_organization

Read-onlyIdempotent

Obtain an organization's slug, name, projects, teams, and access scopes to understand your permissions and structure.

Instructions

Get one organization: slug, name, its projects and teams (counts and slugs), and the access scopes you hold in it. Scope: org:read, org:write or org:admin.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNotext (default): compact, for reading. json: the same fields as JSON, for further processing.text
organizationNoOrganization slug. Optional: defaults to the server or header default, or to the only organization the token can see.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
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, so the safety profile is covered. The description adds value by disclosing the required OAuth scopes (org:read, org:write, or org:admin) and the composition of the response (slug, name, projects and teams counts/slugs, access scopes). No contradiction with annotations.

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?

Two sentences, no filler. The first sentence front-loads the operation and return payload, and the second specifies the access scopes. Every word contributes.

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?

The tool is simple (2 optional params, no output schema). The description covers the return payload and the authorization requirement, which are the most important operational facts. The format parameter and optionality of organization are already documented in the schema, so nothing important is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already fully documents both 'format' and 'organization'. The description adds no parameter-level meaning beyond that schema, meriting the baseline 3 for fully covered schemas.

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?

The description uses the specific verb 'Get' with the resource 'one organization' and enumerates the exact returned data: slug, name, projects/teams counts and slugs, and access scopes. This clearly distinguishes it from siblings like list_organizations (plural) and whoami. A tool name alone would be ambiguous, but the description removes that ambiguity.

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?

The description implies usage: when you need details of a single organization rather than a list. It provides a clear context by specifying the return fields and required scopes. However, it does not explicitly name alternatives or state when not to use it, so it stops short of a 5.

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