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Human Tasks by The2410

Send feedback

send-feedback-tool

Send feedback to The2410 team: a problem, a suggestion, praise or any other message about this MCP server, an order or a project. Use only when the customer wants to share feedback. Show the message to the customer and send it after they confirm. Name and email are optional; include them if the customer wants a reply. If the feedback is about a specific project or order, add the project_context_id or order_id returned by an earlier call. Never include passwords, access details or payment card data.

Input Schema

NameRequiredDescriptionDefault
nameNoOptional customer name.
typeNoFeedback type. Default: other.
emailNoOptional customer email, if the customer wants a reply.
messageYesThe feedback text, in the customer's words.
order_idNoOptional order id of a fixed-price service order, e.g. ord_8f3k2m9qxa.
project_context_idNoOptional project context UUID returned by a previous tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations show readOnlyHint=false, destructiveHint=false, openWorldHint=false, but the description adds crucial behavioral context beyond that: it advises showing the message to the customer before sending and waiting for confirmation, and explicitly warns against including sensitive data. This goes beyond the structured hints, though it could say more about what happens after sending or error handling.

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 a single, well-structured paragraph with no filler. It front-loads what the tool does, then gives usage conditions, confirmation instructions, parameter guidance, and a security warning in logical order.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-parameter tool with no output schema, the description covers purpose, usage trigger, confirmation workflow, parameter semantics, and sensitive-data restrictions. Nothing essential is missing for an agent to call it correctly.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds value by explaining that name and email are optional and should be included only if the customer wants a reply, and that project_context_id/order_id should be added only for specific project/order feedback, clarifying their conditional use beyond the schema's bare description.

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 names a specific verb (send), resource (feedback), recipient (The2410 team), and enumerates the content categories, which clearly distinguishes it from the sibling order/service tools.

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

Usage Guidelines5/5

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

It explicitly states 'Use only when the customer wants to share feedback' and gives a clear workflow: show the message to the customer and send only after they confirm. This is a strong usage boundary with an implicit alternative (don't use otherwise).

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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