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sanhao-global-experts

gzh-publish-pipeline

A production-ready gzh publish pipeline 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

C2.3/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, and it discloses almost nothing: not whether the tool reads or generates, not what the output looks like, not whether the result is static or scoped to input. The only behavioral hint is "delivered as a copy-paste prompt pack with examples," which suggests fixed content rather than an execution. For an unannotated tool this is a significant gap.

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

Conciseness2/5

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

Only two sentences, but most of the wording is marketing padding ("production-ready," "you can run today," "structured, repeatable workflow") that conveys no operational information. The space is spent on persuasion rather than on the facts an agent needs before invoking the tool, and the one concrete detail (prompt pack) comes last.

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?

As a one-optional-parameter tool with no output schema, the definition is short enough that not much is strictly required, and the audience and deliverable framing give minimal context. However, nothing tells the agent what a call returns or how the query affects it, leaving the interaction underspecified relative to the crowded sibling set. It is thin but not structurally complex.

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 description coverage is 100% for the single optional 'query' parameter, so the schema already explains its meaning and the baseline is 3. The description adds nothing about how the query scopes the workflow, and its framing of a pre-packaged deliverable sits awkwardly with a scoping parameter. No credit above baseline, but no penalty.

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 restates the tool name as a noun phrase ("a gzh publish pipeline system") without naming a concrete action the agent can invoke. It adds a target audience ("marketing and operations leaders") and a deliverable format ("copy-paste prompt pack with examples"), but it never says what calling the tool actually produces in response to a query. It is closer to a product blurb than a functional purpose statement.

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?

There is no when-to-use guidance, no prerequisites, and no named alternative despite dozens of close siblings (gzh-* kits, wechat-oa-article-pipeline, article-pipeline-pro, gzh-baokuan-writer). The audience phrase gives only the faintest hint of context. An agent cannot tell from this text why it would pick this tool over any other gzh-related sibling.

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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