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ahmedbally

clockwork-mcp-remote

by ahmedbally

list_commands

Retrieve profiled Artisan command executions with filters for command name, time range, and pagination. Use it to inspect command performance and debug Laravel applications remotely.

Instructions

List profiled Artisan command executions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoUnix timestamp end
fromNoUnix timestamp start
nameNoFilter by command name
limitNoMax results to return
tokenNoPre-authenticated X-Clockwork-Auth token (alternative to password)
offsetNoNumber of results to skip
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

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'List' implying a read operation, but it does not clarify authentication needs (username, password, token), pagination behavior, response format, or whether only profiled executions are returned and what that entails.

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 concise sentence with no redundant wording, and it front-loads the core list action. However, it is slightly too terse to provide meaningful structure beyond the resource name, so it earns a 4 rather than 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?

For a tool with nine parameters, no output schema, and a large sibling set, the description is insufficiently complete. It does not describe return values, pagination, authentication context, or how this list relates to get_command, leaving agents without enough context to invoke it correctly beyond parameter names.

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 all nine parameters are already documented in the schema. The description adds no additional parameter meaning, which is acceptable given the baseline of 3 for high schema coverage.

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 a clear resource: 'profiled Artisan command executions.' It clearly distinguishes this from sibling tools like get_command, list_requests, and list_queue_jobs, making the tool's purpose immediately understandable.

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?

No guidance is given about when to use this tool versus alternatives such as get_command for a single command execution or other list_* siblings. The context is only implied by the resource name, with no explicit when-to-use or when-not-to-use instructions.

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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