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ahmedbally

clockwork-mcp-remote

by ahmedbally

get_http_requests

Retrieve outgoing HTTP requests logged during a specific Clockwork request to trace external API calls and diagnose performance issues.

Instructions

Get outgoing HTTP requests made during a request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoPre-authenticated X-Clockwork-Auth token (alternative to password)
baseUrlNoClockwork application base URL (e.g. https://my-app.test). Overrides CLOCKWORK_BASE_URL / local storage for this call
passwordNoClockwork authentication password
usernameNoClockwork authentication username
requestIdYesClockwork request ID

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavior. It clearly indicates a read-only retrieval operation and scopes it to a request, but it does not disclose output format, whether an active Clockwork connection is required, or what happens when no outgoing requests are found. This is adequate but not rich.

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 nine-word sentence with no filler. It front-loads the action and resource, making it immediately scannable and easy for an agent to parse.

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 tool with one required parameter and fully documented parameters, the description is largely complete. It states what is returned (outgoing HTTP requests) and the scope (during a request). It does not describe the return structure, but there is no output schema and the tool is simple enough that this is a minor gap.

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%, and the description itself adds no parameter-level meaning beyond the schema. Baseline 3 applies because the schema already documents all five parameters, including the required requestId.

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 names a specific verb ('Get'), a specific resource ('outgoing HTTP requests'), and a clear scope ('made during a request'). This distinguishes it from sibling tools like get_queries, get_redis_commands, and get_events without needing to reference them.

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

Usage Guidelines2/5

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

The description gives the context that the data belongs to a specific request, but it does not explain when to use this tool versus the many sibling retrieval tools, nor does it mention any exclusions or prerequisites. An agent is left to infer that this is only for outgoing HTTP requests.

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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