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Glama

Get Support Requests

get_support_requests
Read-onlyIdempotent

List your support requests, complaints, and recommendations. Optionally filter by type or status. Returns request IDs, subjects, statuses, and timestamps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by type: support, complaint, recommendation, billing_issue, technical_incident, policy_question
apiKeyYesYour API key (m2m_...)
statusNoFilter by status: open, in_progress, waiting_for_agent, resolved, closed

Schema Changelog

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

  1. First observed

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 and destructiveHint=false, covering the safety profile. The description adds valuable context by specifying the return fields (request IDs, subjects, statuses, timestamps) and noting optional filtering, which goes beyond what annotations provide.

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 three short sentences, front-loaded with the action 'List.' Each sentence adds essential information without fluff, and the structure is easy to scan.

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?

For a simple read-only list tool, the description covers purpose, filters, and return fields. Combined with strong annotations and full schema coverage, it is complete enough for an agent to invoke correctly, though it omits potential extras like pagination or sorting.

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?

The schema provides 100% description coverage for all three parameters, including enums and defaults. The description merely restates that filtering by type/status is optional, adding no new semantics beyond the schema.

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 'List' and clearly identifies the resource as 'support requests, complaints, and recommendations.' It also mentions optional filters and return fields, which distinguishes it from sibling tools like reply_to_support_request and submit_support_request.

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 when to use this tool: when you need to list support requests. However, it does not explicitly name alternatives or exclusions, unlike some high-scoring examples. The context is clear but lacks explicit 'when-not-to-use' guidance.

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
Disambiguation3/5

Most tools have clearly distinct purposes, but there are overlapping pairs like fund_wallet and checkout_wallet_deposit (both create checkout URLs for wallet top-up) and cancel_physical_task vs cancel_task_with_settlement. Detailed descriptions and cross-references help, but the sheer number of similar actions creates misselection risk.

Naming Consistency4/5

Tool names follow a consistent verb_noun snake_case pattern (e.g., get_*, list_*, approve_*). Minor deviations include inconsistent use of 'task' vs 'physical_task' in names and the awkward 'checkout_wallet_deposit', but overall the pattern is predictable.

Tool Count2/5

54 tools is excessive for any server, even a complex platform. While each tool has a role, many are redundant or could be consolidated (e.g., wallet funding tools, multiple approval/cancel variations), making the set feel bloated and hard to navigate.

Completeness4/5

The tool set covers the full task lifecycle, escrow/direct settlement flows, wallet management, webhooks, support, and administrative functions. The only notable gap is the inability to update task details beyond location (description, deadline, etc.) after dispatch, but core workflows are well-covered.