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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds only that the payload is comprehensive in scope, without saying what happens for an unknown slug, whether an error is raised, or how large the response is. It neither contradicts nor meaningfully extends the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with a colon-delimited list, which is structurally sound and short. But several list items are vague ('what you get', 'any operations'), so brevity comes at the cost of specificity rather than being purely efficient.

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

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 is the only source of return-value information, and it does gesture at the main content categories. Against the simplicity of a one-parameter read tool with rich annotations, that is roughly adequate, but the undefined slug and absent error/edge-case behavior leave gaps.

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

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

The single parameter, slug, has 0% schema description coverage, so the description carries the full burden and does not meet it — 'slug' is never explained as the service identifier, its expected format, or where to obtain it. The items listed ('request fields', 'operations') describe response content, not the input, so they do not compensate for the schema gap.

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

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

The description conveys that this is a detail-lookup for a single service and enumerates the kinds of content returned (request flow, response, scope/limits, fields, operations). However, it never states an explicit verb and shifts terminology from the tool name's 'proposition' to 'service', which leaves the agent to infer that these are the same entity. The singular framing loosely implies a contrast with list_propositions, but no explicit differentiation is made.

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

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

There is no when-to-use guidance at all: nothing says to call this instead of list_propositions when the agent already has a slug, and nothing mentions the sibling tools. The description also never hints at what precondition must hold (a valid slug) before calling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

Beyond the annotations' safety profile, the description usefully discloses the one-line-summary granularity and the two types of services listed. It does not clarify catalog completeness, returned identifiers, or how the listed services connect to subsequent tool calls.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence front-loads the operation and then adds useful detail about output and service categories. There is no unnecessary wording.

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

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

For a zero-parameter read-only listing tool, this provides enough information to understand and invoke it successfully. Explicit next-step guidance and a note about whether identifiers needed by sibling tools are returned would make it more complete, especially without an output schema.

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

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

The tool has no parameters, so there is no parameter behavior requiring explanation. The description appropriately focuses on the returned content instead.

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

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

The description clearly states the verb and resource—listing Bayline's services—and adds that each service has a one-line summary. The distinction between instant lookups and submittable requirements clarifies the catalog's contents, though the description does not explicitly differentiate this tool from describe_proposition.

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

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

The wording implies that this is a discovery tool for browsing available lookups and requirements. However, it gives no explicit guidance on when to use it before describe_proposition or instead of submit_request.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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.

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.

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.

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.

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.

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.