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Balcones Apiary Co.: Managed hive placement and agricultural valuation support

by com.forevenza.services
OverviewDiscussionsAdmin

Describe a need to Balcones Apiary Co. in words

interpret_requirement

Give Balcones Apiary Co. the buyer's requirement, or a correction or addition to it, in their own words: it is read into a structured requirement (each value says which words it came from), conflicting or unclear facts come back as one question, and words not yet read are kept as written. Pass the requirement (id, token) from the first answer to continue it. Nothing is sent or ordered: send_requirement sends it when the buyer says so. When you already have the fields in structured form, use submit_request instead.

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": {
      "utterance": "<utterance>"
    },
    "name": "interpret_requirement"
  }
}

Input Schema

NameRequiredDescriptionDefault
turn_idNoYour id for this message: a retry with the same id is applied once
timezoneNoThe buyer's IANA time zone, for reading dates
utteranceYesThe buyer's words, as written
requirementNoThe requirement to continue

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior3/5

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

Annotations declare a non-read-only, non-destructive, non-idempotent call, and the description goes well beyond that: parsing with word-level provenance, conflicting facts returned as a single question, unread words preserved verbatim, and nothing being sent or ordered. What it does not address is the retry/dedupe behavior carried by turn_id or what the response envelope looks like, so a 5 is not warranted, but the added context is substantial for an annotated tool.

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?

Purpose is front-loaded and the two closing sentences are dense with routing value. The opening sentence runs long with three subordinated clauses (parsing, one-question back, unread words retained), which is slightly harder to scan than it needs to be.

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?

There is no output schema, so the description carries the burden of describing returns, and it does: a structured requirement with per-value word provenance, at most one clarifying question, and verbatim retention of unparsed words. Combined with full schema coverage, an agent has enough to call this correctly and interpret the answer.

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 coverage is 100%, so the baseline is 3 and the schema already documents all four parameters. The description adds workflow meaning beyond the field text by explaining that requirement.id and requirement.token come from the first answer and are what continues the conversation, but it says nothing about turn_id or timezone beyond what the schema states.

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 and resource: give the buyer's requirement in their own words, which is parsed into a structured requirement. It also names the two siblings it is not (send_requirement, submit_request) and the condition that selects each, so an agent can distinguish it without opening another schema.

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?

Explicit when-to-use routing: use this for free-text input, use submit_request when fields are already structured, and use send_requirement only when the buyer says to send. It also states the continuation condition (pass the id and token from the first answer), which covers the multi-turn case.

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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