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Glama

Get a donation

get_donation
Read-only

Fetch a single donation by uuid. Raisely API: GET /donations/{uuid}. Returns { data:{...} }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYesThe donation uuid.

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

The readOnlyHint annotation already signals a safe read operation. The description adds value by specifying the API endpoint (GET /donations/{uuid}) and the response shape ({ data:{...} }), which are not in the annotations. No contradictions.

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 concise: two sentences that front-load the purpose, followed by the API endpoint and return format. Every sentence adds relevant information without waste.

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

Completeness5/5

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

For a simple single-item fetch with one parameter and a readOnly hint, the description covers the purpose, parameter usage, API path, and return format. No output schema exists, but the return shape is specified, making the tool fully comprehensible.

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 baseline is 3. The description mentions 'by uuid' and the API path includes {uuid}, but it does not add meaning beyond the schema's 'The donation uuid.' Thus, it does not exceed the baseline.

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 a specific verb ('Fetch') and resource ('single donation') with identifier ('uuid'), clearly distinguishing it from sibling list tools like list_donations. It also includes the API endpoint, reinforcing the exact operation.

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 clearly implies the tool is for fetching a single donation by UUID, which is appropriate context. It does not explicitly mention alternatives or when not to use it, so it falls 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.

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TDQS

A3.9/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific resource and action. The get_/list_/create_/update_ prefixes distinguish reads from mutations, and the convenience listers are explicitly labeled, so there is no real overlap or confusion.

Naming Consistency4/5

Tool names largely follow a consistent verb_noun pattern (create_, get_, list_, update_). The only outlier is raisely_request, which is a generic escape hatch but breaks the pattern slightly.

Tool Count3/5

With 23 tools, the server is on the heavy side. While each tool maps to a distinct API endpoint, several convenience wrappers (list_campaign_donations, list_user_donations) add redundancy without significantly expanding functionality.

Completeness2/5

The tool surface is heavily read-oriented. Many core resources like campaigns, subscriptions, posts, and orders lack create/update/delete operations, and the read-only raisely_request cannot fill these gaps, leaving agents unable to perform common management tasks.