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check_applicant_against_roster

Screens one applicant carrier against a roster of carriers you already do business with (or are vetting) — the batch generalization of confirm_identity_link, for the real-world case of catching a carrier that was previously cut from your network (revoked, suspended, or otherwise let go) trying to re-enter under a new USDOT number. usdot_number is the applicant; roster_usdot_numbers is your own list, supplied by you.

Returns linked (true if the applicant shares an identity cluster with ANY roster member) and matched_roster_usdot_numbers (which ones, always a subset of what you supplied — never a carrier you didn't already name). roster_not_found lists any roster entries that simply don't resolve to a known carrier (still your own input, not a new disclosure). usdot_number's own cluster_id is always included, same as check_carrier_identity's convention — it's the applicant's own data, not something withheld pending a match.

usdot_number must not also appear in roster_usdot_numbers, and roster_usdot_numbers must be a non-empty list of at most settings.roster_screen_max_size distinct entries (currently 100) — either violation is a free invalid_arguments; split a larger roster into multiple calls rather than expecting it to be truncated for you. An unresolved usdot_number (the applicant itself) is a free not_found, same as confirm_identity_link/check_carrier_identity.

Paid, metered: price = price_check_applicant_against_roster_base + price_check_applicant_against_roster_per_entry * (the deduped roster size) — see get_catalog for current rates. A "not linked to anything on your roster" result is a complete, valuable answer and bills the same as a match, same reasoning as check_carrier_identity's cluster_size == 1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usdot_numberYes
roster_usdot_numbersYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and delivers: exact validation constraints (usdot must not appear in roster, non-empty, max 100 distinct entries), the failure classes and their cost (free invalid_arguments, free not_found), the metered pricing formula, and the reassurance that 'not linked' is a complete billable answer. This is unusually thorough behavioral disclosure.

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 and return shape are front-loaded well, and every sentence carries substance. It is somewhat long and repeats the 'still your own input, not a new disclosure' reassurance and cross-references to sibling conventions multiple times, which is slightly redundant though defensible for a metered tool.

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?

For a 2-parameter tool with no output schema and no annotations, the description covers inputs, return fields, error/edge cases, cost model, and success semantics — nothing an agent needs to call it correctly is missing.

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

Parameters5/5

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

Schema coverage is 0% and both parameters are bare integers, so the description must compensate — and it does: usdot_number is 'the applicant', roster_usdot_numbers is 'your own list, supplied by you', plus the constraint that the applicant must not appear in the roster and the roster's size cap. This adds real meaning the schema cannot convey.

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 ('Screens one applicant carrier against a roster of carriers') and explicitly positions itself as 'the batch generalization of confirm_identity_link', so an agent can distinguish it from siblings without opening any schema.

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

Usage Guidelines4/5

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

Gives a concrete use case — catching a carrier previously cut from the network re-entering under a new USDOT number — and names the sibling it generalizes (confirm_identity_link). It stops short of an explicit 'when not to use this / use X instead for single pairs' rule, so the routing is implied rather than fully spelled out.

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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