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Bayline: truckload, LTL and intermodal freight lanes; warehouse space requirements

Read a requirement as it stands

get_requirement
Read-onlyIdempotent

A Bayline requirement as it stands: each value with where it came from, what it replaced, the open question, words not yet read, whether it was sent and any offer on it.

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": {
      "slug": "<slug>",
      "id": "<id>",
      "token": "<token>"
    },
    "name": "get_requirement"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe requirement id from an earlier answer
slugYesThe service, from list_propositions
tokenYesIts private token (also the receipt token of the request it is sent as); keep it private

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is fully covered. The description does add value beyond them by sketching the returned data (per-value provenance, what each value replaced, open question, unread words, send status, offer). However those terms are in-house jargon and no output schema exists to clarify them, so the disclosure is suggestive rather than precise.

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?

A single compact sentence with the resource front-loaded and no filler. The density comes at some cost to readability — a colon-delimited list of compressed jargon — but nothing is redundant.

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

Completeness3/5

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

Read annotations and parameter documentation are complete, but with no output schema the description is the only source for return shape, and it delivers that as a cryptic fragment list rather than an intelligible account. For a three-required-parameter read tool it is workable but not self-sufficient.

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%: slug's enum source (list_propositions), id's origin ("from an earlier answer"), and token's private/receipt semantics are all documented in the schema. The description adds nothing about the three required parameters, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource ("A Bayline requirement") and implies a read via "as it stands", then enumerates what the record contains. But it is a noun phrase with no verb, so it never plainly says "fetches/reads one requirement by id", and it does not distinguish itself from siblings like describe_proposition, edit_requirement, or inspect_offer.

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

Usage Guidelines2/5

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

There is no explicit when-to-use statement and no alternatives named, even though the sibling set contains several near-neighbours (describe_proposition, edit_requirement, send_requirement, inspect_offer). The agent must infer that this is the read path from the title alone.

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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