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johsem

Semaphore UI MCP server

by johsem

validate_schedule

Read-onlyIdempotent

Validates a cron expression for a project schedule before creation or update, returning format errors so invalid schedules are caught early.

Instructions

Validate Schedule Cron Format. POST /project/{project_id}/schedules/validate. Supply API fields in body; JSON-encoded string fields must remain strings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds real context beyond them: the operation is a POST despite being non-mutating, and body string fields must not be coerced. It says nothing about what a validation result looks like or whether errors are returned per-field.

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?

Three short sentences with the purpose front-loaded and the endpoint second; nothing is padded. The final sentence is somewhat boilerplate but still conveys a request-construction constraint.

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 validation endpoint with no output schema, the description never says what comes back (boolean, normalized cron, or error list), which is the single most important thing an agent needs here. Combined with undocumented parameters, the definition is thin for the task.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across two required parameters, so the description carries the full burden and only partly meets it. It tells the agent to put fields in the nested body object and keep JSON-encoded strings as strings, but never explains what cron_format accepts (field count, allowed syntax) or the role of project_id in validation.

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 and resource (validate a schedule's cron format) and pins the endpoint POST /project/{project_id}/schedules/validate, so it is clearly distinct from the create/update/get schedule siblings. It stops short of explicitly contrasting itself with those siblings, but the action is unambiguous.

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?

There is no statement of when to call this versus create_schedule or update_schedule (e.g. 'use before creating a schedule to check a cron expression'), and no exclusions or prerequisites. Usage is only inferable from the verb 'validate'.

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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