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Offers summary

offers_summary
Read-onlyIdempotent

[Catalog] Fast exact counts for the whole catalog: total, active, inactive, rejected, with a rejected update. Use this first on large catalogs. Works on: Demo shop (sample data).

Input Schema

NameRequiredDescriptionDefault
accountNoAccount id from list_accounts. Optional when only one account is connected.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuine extra context beyond that: it is a 'fast exact counts' operation and the data scope is limited to 'Demo shop (sample data)'. It does not add more behavioral detail (e.g. how counts interact with filters), so a 3 is appropriate.

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?

Two short sentences with the count breakdown and usage cue front-loaded; no filler. The only defect is the confusing 'with a rejected update' clause, which reads as a truncated or garbled fragment rather than earned content.

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?

An output schema exists, so return-shape explanation is unnecessary. Combined with annotations (read-only, idempotent) and a schema-documented optional parameter, the description covers what an agent needs: the count dimensions and the applicable data scope. The garbled 'rejected update' clause is the lone incompleteness.

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% and there is a single optional 'account' parameter whose schema already documents its source (list_accounts) and fallback behavior. The description adds no additional meaning about the parameter, so the baseline of 3 applies.

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 (exact counts) and resource (whole catalog) with the concrete breakdown fields (total, active, inactive, rejected). This clearly distinguishes it from the sibling offers_list / offers_get which retrieve records rather than counts. The trailing phrase 'with a rejected update' is garbled and slightly muddies an otherwise precise purpose.

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

Usage Guidelines3/5

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

'Use this first on large catalogs' gives a real usage cue (performance-oriented, call before heavier listing tools). However it never names the alternatives (offers_list, catalog_health_audit) or states when NOT to use it, so the routing guidance is implicit rather than explicit.

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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