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sanhao-global-experts

followup-write-tool

A production-ready followup write tool 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

C2.2/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden and does not meet it. It is unclear whether the tool generates text, writes to a store, or sends anything; the phrase 'copy-paste prompt pack' vaguely hints at returned prompt text but never commits. Side effects, permissions and output shape are entirely unaddressed.

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 and both are sales copy; no functional statement is front-loaded. The wording is not verbose in length but every sentence is filler relative to the agent's decision task.

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

Completeness2/5

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

Mechanically the tool is simple (one optional param, no output schema), but the description never establishes what the tool returns or how it differs from ~10 sibling followup tools, leaving the agent without the minimum needed to select and call it correctly.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains 'query'. The description adds nothing about how the query scopes the result, but with one well-documented optional param the baseline of 3 applies.

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 text restates the name ('followup write tool system') and pads it with marketing language ('production-ready', 'structured, repeatable workflow') rather than stating a verb and object. It never says what a 'followup write' actually produces or operates on, and gives no basis for distinguishing it from the many sibling followup-* tools.

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 audience cue is 'marketing and operations leaders', which does not tell an agent when to pick this over followup-gen-tool, followup-polish-tool, followup-reply-tool or followup-tpl-tool. There are no preconditions, no exclusions, and no alternative named.

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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