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send_feedback

Send feedback about the API

Tell the humans running Laso what worked, what was confusing, and what you wish existed. It lands on their dashboard, so it is the best channel for API friction and feature requests.

Requires at least one completed real action (a settled deposit, purchase, or withdrawal); at most 5 entries per 24 hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ratingNoA 1-5 satisfaction rating. Optional; ignored when not an integer in range.
endpointNoWhich API endpoint or route the feedback is about. Optional. Capped at 120 characters.
feedbackYesThe main free-text feedback. Required. Sanitized and capped server-side (max 2000 characters).
auth_tokenNoLaso credential. Only if the MCP connection has no Authorization header.
how_it_wentNoHow it went. Optional. Capped at 500 characters.
what_they_wantNoWhat you were trying to do. Optional. Capped at 500 characters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that feedback 'lands on their dashboard', requires a completed real action, and has a rate limit of 5 per 24 hours. These are genuine behavioral traits. It does not mention auth details or the response format, but for a feedback submission tool these are less critical and partially covered by the schema (auth_token param).

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 three sentences, with the core action stated first, the value proposition second, and constraints third. Every sentence earns its place, and there is zero fluff. It is efficiently front-loaded and easy to parse quickly.

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 feedback tool with 100% schema coverage and no output schema, the description is fairly complete. It covers the purpose, the target audience, the prerequisite, and the rate limit. It does not explicitly state the response or that it is a write operation, but that is implied and not a critical gap for an agent to invoke it correctly.

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 six parameters with descriptions. The description adds no parameter-specific details beyond what the schema provides; it only frames the overall purpose. This meets the baseline of 3, as the description need not compensate for a coverage gap.

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 verb 'Send feedback' and the resource 'the API', then elaborates with a concrete purpose: telling the humans running Laso what worked, what was confusing, and feature requests. It is immediately distinguishable from all sibling tools, none of which serve a feedback purpose, so an agent can select it without ambiguity.

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 clear context for when to use it ('best channel for API friction and feature requests') and even imposes a prerequisite (at least one completed real action) and a rate limit (at most 5 per 24 hours). It does not explicitly name alternatives or state when not to use it, but given the unique purpose, that omission is minor.

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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