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Glama

get_request

Read-only

Get one inbound request envelope + every per-target delivery attempt made on the way out (success / permanent_failure / retry_scheduled / dlq). The request and each attempt carry configVersion, the published config that authorised them; 0 means unstamped. Scoped to this project; returns null once the request has aged out of the project's log-retention window (requestLogRetentionDays — see get_project).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestIdYesUUID returned by the relay in 202 responses or visible in list_requests rows.

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?

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral context: the return of null after log retention, the meaning of configVersion (0 = unstamped), and the inclusion of per-target attempts with specific statuses. This enriches the agent's understanding beyond the 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?

The description is two sentences with zero redundant text. The core function (getting the envelope and attempts) is front-loaded, and the edge case about retention is placed second. Every sentence adds value.

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?

Given a single parameter and no output schema, the description covers the return payload structure (envelope + attempts with statuses), the configVersion semantics, project scoping, and the aging-out null case. It also points to get_project for the retention setting, making it complete for an agent to call correctly.

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 input schema fully describes the sole parameter (requestId) with its source and format at 100% coverage. The description adds no additional parameter-specific meaning, but it does not need to because the schema is already complete. Baseline 3 is appropriate.

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 states a specific verb ('Get') and resource ('one inbound request envelope + every per-target delivery attempt'), and lists the four statuses covered (success / permanent_failure / retry_scheduled / dlq). It clearly differentiates from list_requests (which lists rows) by focusing on a single request with full delivery attempt detail.

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 context of returning null after the retention window and being scoped to the project provides clear usage context, and it references get_project for retention config. However, it does not explicitly name alternative tools or state 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

A3.6/5.0
Disambiguation3/5

Most tools target distinct resources and the descriptions are unusually explicit, but the billing cluster (change_plan/cancel_subscription and the many add-on actions) plus the preview/diff tools overlap and could cause mis-selection. config_diff, dry_run_endpoint, and preview_line_draft all read as 'preview what will change' at first glance despite different scopes.

Naming Consistency4/5

The overwhelming majority follow a clean snake_case verb_noun pattern: create_*, get_*, list_*, set_*, update_*, delete_*. It is only held back by a few naming outliers such as config_diff and default_endpoint_template, which break the verb-first convention.

Tool Count1/5

78 tools is an extreme mismatch for an MCP server surface, even accounting for the broad management/relay domain. Such a large surface will overwhelm model context and make tool selection materially harder; this would be better split into focused servers for configuration, data-plane operations, and billing.

Completeness4/5

The tool surface is very thorough: projects, lines, endpoints, credentials, keys, configs/drafts, DLQ, requests, metrics, audit, team, and billing are all represented. Only minor gaps exist, such as no direct single-line get/update and the intentional inability to widen the outbound allowlist or lift archive protection via API.

Resources