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Workever MCP Server and API by Cotlet

Schedule job in Workever

workever_schedule_job
Read-onlyIdempotent

Schedule job in the user's own Workever account from ChatGPT, Claude or any AI agent. Returns how to do it in Workever step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Workever Cloud Browser. Workever's official API: Workever publishes no public API.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Goes beyond the annotations by disclosing the return content (step-by-step screens, buttons, fields) and stating it takes no action itself, which is consistent with readOnlyHint=true and destructiveHint=false. It also explains why it exists (no public Workever API). It does not say what happens if the user's account or Cloud Browser session is missing, or whether the returned steps are validated.

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

Conciseness3/5

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

The core information is front-loaded, but the phrasing is padded with promotional framing ("from ChatGPT, Claude or any AI agent") and ends with an awkward fragment, "Workever's official API: Workever publishes no public API." The same content could be delivered in about half the words.

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 zero-parameter, no-output-schema guide tool, the description covers what it returns and how the follow-up action happens, which is the essential context. The main omission is the relationship to the sibling workever_create_job, which could steer an agent to the wrong tool when the user actually wants a job created.

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

Parameters4/5

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

The tool takes no parameters, so the baseline is 4; there is nothing for the description to disambiguate beyond confirming it operates on the user's own Workever account implicitly. No schema meaning is lost.

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?

States the verb and resource ("Schedule job in the user's own Workever account") and immediately corrects the likely misreading by saying it "Returns how to do it in Workever step by step... and opens nothing by itself." That is a clear, specific purpose. It does not, however, distinguish itself from the sibling workever_create_job, which an agent could easily confuse with this one.

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?

Gives a clear workflow: use this tool to get the step-by-step procedure, then execute it with the cotlet_browser_* tools in the user's Workever Cloud Browser. That is genuine when/how guidance. It stops short of exclusions — nothing says when to prefer workever_create_job or another Workever tool instead.

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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