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search_label_logs

Search/list label logs (summary rows only — no bodies). Prefer LookupByTrackTrace then get_label_log. All filters optional; combined with AND. Admin or Superuser access required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows 1–200 (default 20)
dateToNoEnd date yyyy-MM-dd inclusive
offsetNoPagination offset (default 0)
statusNosuccess | error | allall
carrierNoCarrier enum name (e.g. LandmarkGlobal) or numeric row id from ListCarriers
labelIdNoCarrier label id (partial match in stored bodies)
dateFromNoStart date yyyy-MM-dd
intentIdNoIntent ID from RecordUserQuestion
trackTraceNoTrack & trace (partial match in stored bodies)
organisationIdNoOrganisation id (optional filter)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden, and it delivers real substance: it discloses that results are summary rows without bodies and that combined filters use AND. Notably it states 'Admin or Superuser access required', an auth prerequisite not recoverable from the schema. It stops short of return format/pagination specifics.

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

Conciseness5/5

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

Three compact sentences with zero filler. The most decision-critical constraint (summary-only, no bodies) is front-loaded, followed by the routing hint and the auth requirement.

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

Completeness4/5

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

For a 10-parameter optional-filter search with full schema coverage and no output schema, the description covers scope, filter semantics, alternative routing, and access requirements. Return-shape detail is the only notable omission, and the summary-rows disclosure partly compensates.

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 coverage is 100% with each parameter individually described, so the schema does the heavy lifting. The description adds the AND-combination semantics for filters, marginal value, so baseline 3 is appropriate.

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?

States a specific verb+resource ('Search/list label logs') and adds a scope qualifier ('summary rows only — no bodies') that distinguishes it from body-returning siblings. It does not explicitly name the log-specific alternatives among the many sibling tools, but the resource is unambiguous.

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?

Explicitly routes the agent: 'Prefer LookupByTrackTrace then get_label_log', naming both alternatives and the preferred order. This is clear when-to-use guidance, though it doesn't spell out conditions where search is preferred over the lookup path.

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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