Skip to main content
Glama
ahmedbally

clockwork-mcp-remote

by ahmedbally

get_redis_commands

Fetch Redis operations executed for a specific Clockwork request ID to pinpoint performance bottlenecks in Laravel applications.

Instructions

Get Redis commands for 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

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It states only the action — nothing about what the returned data looks like, ordering, pagination, error behavior, or that authentication (via the token/password parameters in the schema) is required. For an unannotated tool this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single six-word sentence with zero filler, and the action verb is front-loaded. It is efficient, though the brevity is partly a product of under-specification rather than tight editing of rich material, so it stops short of a 5.

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

Completeness2/5

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

With no output schema, no annotations, and five parameters including auth-related ones, the description carries a heavy completeness burden that it doesn't meet. It fails to explain what Redis commands the agent will receive, whether they represent executed operations during the request, or how this tool differs from the nearby cache and query tools. An agent cannot confidently anticipate the tool's result or choose it 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?

Schema description coverage is 100%, so the baseline of 3 applies even though the description adds no parameter detail. The phrase 'for a request' loosely maps to the required requestId parameter, but the description contributes no meaning beyond what the schema already documents for the auth-related parameters. The baseline is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific verb (Get), resource (Redis commands), and scope (for a request), so the core action is clear. However, 'Redis commands' is ambiguous — it doesn't clarify whether these are executed Redis operations recorded during the request, and it doesn't distinguish itself from siblings like get_cache_operations or get_queries. This is clear but lacks sibling differentiation, matching a 4.

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 provides no guidance on when to use this tool versus alternatives. It doesn't name sibling tools like get_cache_operations or list_commands, state exclusions, or describe the conditions under which Redis commands would be relevant for a request. There is no usable routing information, leaving the agent to guess.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ahmedbally/clockwork-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server