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COTAL (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

TableJSON 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. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses that feedback is filed and persisted to the same log as the widget, and that an email is required. Annotations only indicate non-read-only and non-destructive; the description adds the key side-effect context. Sandbox and idempotency behaviors are handled in schema parameter descriptions.

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

Conciseness5/5

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

The description is two concise sentences with no fluff. It front-loads the primary action and then adds the most important context (same log, email requirement).

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?

The description is complete enough for a feedback-submission tool: it states purpose, persistence location, and the key prerequisite (email). No output schema exists, so return details are not needed. Optional sandbox and severity behaviors are fully covered in the schema.

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% with detailed parameter descriptions, so the baseline is 3. The prose adds only the email follow-up rationale, which is already implied by the schema's 'traceable origin' description. No meaningful parameter semantics are added beyond the schema.

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 clearly states the action ('Files feedback'), the target (COTAL team), and enumerates the feedback types. It also distinguishes this tool from siblings by noting it writes to the same log as the site's feedback widget.

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?

The description gives useful context: it acts on behalf of the user, requires an email for follow-up, and uses the same log as the feedback widget. It does not explicitly contrast with alternatives, but the sibling tools are distinct enough that the intended use is clear.

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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