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sanhao-global-experts

daily-account-book

A production-ready daily account book system for marketing and operations leaders. Get a structured, repeatable workflow you can run today - delivered as a copy-paste prompt pack with examples.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It does add one genuinely useful behavioral fact beyond the schema: the output is a copy-paste prompt pack with examples, not computed data. However, it says nothing about side effects, permissions, or whether any state is read or written, which is a real gap for a tool with zero annotation coverage.

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

Conciseness3/5

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

Two sentences with the resource front-loaded, but much of the text is filler ('production-ready', 'you can run today') that conveys no operational information. It is short without being informative.

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

Completeness3/5

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

For a single-optional-parameter tool with no output schema, the description should at minimum make clear what comes back and how the query affects it. It hints at the return format ('prompt pack with examples') but leaves the actual content and behavior of the 'daily account book' undefined.

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 the single optional 'query' parameter is fully documented in the schema, so the baseline of 3 applies. The description adds no further meaning about how the query scopes the output or what happens when it is omitted.

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

Purpose2/5

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

The description names a resource ('daily account book system') but the verb is generic ('Get') and the surrounding language is marketing positioning rather than a statement of what the tool actually does. It never says whether it produces a bookkeeping template, a marketing daily-report workflow, or a prompt pack, and with hundreds of near-identical prompt-pack siblings there is nothing here to distinguish it.

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?

The only scoping signal is an audience ('marketing and operations leaders'); there is no when-to-use, no when-not-to-use, and no named alternative among the many sibling tools. An agent has no basis to choose this over, say, 'monthly-audit-tool' or 'weekly-report-generator'.

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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