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

Send a requirement

submit_request

Send a requirement to one of Bayline's services. It is kept with a reference number.

Input Schema

NameRequiredDescriptionDefault
needYesThe requirement in words
slugYesService slug, or anything-else
actionNo
budgetNo
timingNo
contactNoOptional; stored apart and deleted after 180 days
quantityNo
geographyNo
specificationsNoFields from the service's request schema
requested_fieldsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, and openWorldHint=false, so the safety and side-effect profile is covered. The description adds one useful behavioral detail: the request 'is kept with a reference number,' indicating persistence and a return reference. However, it does not clarify duplicate-submission behavior, permissions, or what the reference number means beyond existing.

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?

The description is two short sentences with no wasted wording, and the core action is front-loaded. The second sentence is somewhat vague, but the overall structure is efficient and easy to scan.

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

Completeness2/5

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

For a 10-parameter, nested-object tool with no output schema, the description is far too thin. It omits guidance on populating the optional fields, the semantics of the 'anything-else' slug, and what the reference number represents, leaving the agent without enough context to use the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 40%, so the description should compensate by explaining the many optional parameters. Instead, it only vaguely maps 'requirement' to need and 'one of Bayline's services' to slug, leaving action, budget, timing, quantity, geography, specifications, and requested_fields entirely unexplained beyond the schema itself.

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?

The description states a specific verb and resource: 'Send a requirement to one of Bayline's services.' It makes the tool's core action clear, but it does not distinguish this tool from its siblings describe_proposition and list_propositions, so it falls short of a 5.

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 guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. Usage is only implied by the general purpose statement, leaving the agent to infer the appropriate context.

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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