Skip to main content
Glama

COTAL actions (cotal.ai)

Send feedback to the Cotal team

cotal_submit_feedback

Files feedback (bug, idea, friction, praise, other) with the Cotal team on behalf of the user. The same log the site's feedback widget writes to. Requires the user's email so the team can follow up.

Input Schema

NameRequiredDescriptionDefault
areaNoWhich part of Cotal it concerns (CLI, connector, docs, site…).
nameNoThe user's name, if they want it attached.
typeYesKind of feedback.
emailYesThe user's email address. Required so the record has a traceable origin.
sourceNoWhere it came from: agent name, page, or CLI.
detailsNoLonger description, steps, context.
sandboxNoDry run: validate the call, apply rate limits, store nothing. Use it to test the integration.
summaryYesOne line: what happened, or what should.
severityNoFor bugs and friction.
idempotency_keyNoOpaque key (a UUID is ideal). Reuse it when retrying so the same record is returned instead of a duplicate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / area / description
      Previous value: -"Which part of COTAL it concerns (CLI, connector, docs, site…)."New value: +"Which part of Cotal it concerns (CLI, connector, docs, site…)."
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: it is the same log the site's feedback widget writes to, and the email is needed for follow-up. It says nothing about rate limits (only the sandbox param hints at them) or about the sandbox dry-run mode, which would be valuable behavioral disclosure.

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, front-loaded with the core action, and each sentence carries distinct information (action, destination, prerequisite). Efficient, though the email sentence could be folded into the first without loss.

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?

Ten parameters with three required and no output schema, but the schema is fully documented, so the description needn't restate field semantics. The main omission is the sandbox dry-run and retry/idempotency behavior, which matter for an agent calling a write tool that submits content off-platform.

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 schema already documents all ten parameters including enums and the idempotency key. The description adds minor meaning by naming the feedback type categories and the purpose of email, but does not compensate with anything the schema lacks. Baseline 3 is appropriate.

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?

States a specific verb (files) and resource (feedback) with the enumerated types and the recipient (the Cotal team on behalf of the user). No sibling tool handles feedback, so an agent can route here without opening any schema.

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

Usage Guidelines3/5

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

Usage is only implied: the agent must infer that this is for when the user has a bug/idea/friction to report. The precondition that the user's email is required is stated, but there is no when-not guidance and no mention of alternatives such as cotal_request_call or cotal_draft_post.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.