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Manotr

submit_enquiry

Send an enquiry to the Manotr team. Only call this when the person has actually asked to be put in touch and has given you their name and email address. Do not call it to test the connection, and do not invent contact details.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "email": "<email>",
      "message": "<message>"
    },
    "name": "submit_enquiry"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
emailYes
messageYesWhat they are trying to solve, in their own words.
organisationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose that this is a real outbound communication to a human team and sets consent/data-integrity preconditions, which is meaningful. However, it says nothing about what happens on success or failure, whether duplicate submissions are possible, or what the caller gets back.

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?

Two sentences, no waste, with the core action front-loaded before the guardrails. Each clause adds a distinct constraint.

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 simple four-parameter submission tool with no annotations and no output schema, the description covers intent, preconditions, and prohibitions well. Minor gaps are the undocumented organisation field and the absence of any indication of what a successful submission returns.

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 coverage is only 25% — just the message field is documented in the schema. The description adds that name and email must come from the person themselves rather than being invented, which is useful semantics beyond the schema. The organisation parameter is never mentioned anywhere.

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 a specific verb and resource: sending an enquiry to the Manotr team. The action is unambiguous and clearly distinct from the read-only siblings (get_product, list_products, search_manotr, which_product), though the description never explicitly contrasts itself with them.

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?

Gives an explicit positive condition (the person has asked to be put in touch and supplied name and email) and explicit exclusions (do not call to test the connection, do not invent contact details). No alternative tool covers this action, so no sibling routing is needed.

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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