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ecidk

Research Insights MCP Server

by ecidk

create_customer_briefing

Create a customer briefing for renewal calls by aggregating sentiment trends, unresolved issues, feature usage, and competitive risks from user research data.

Instructions

Generate CS briefing before renewal calls

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
briefing_typeYes
include_sectionsNo
Behavior2/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It only states 'generate,' implying creation but lacks detail on side effects (e.g., does it store the briefing?), permissions required, or limitations. This is insufficient for an agent to understand the impact.

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?

The description is extremely short (5 words), which is concise but at the expense of completeness. It is front-loaded with key context, but the brevity forces the agent to guess too much. A few more words would improve it without losing conciseness.

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?

Given the tool has 3 parameters, no output schema, and no annotations, the description is too sparse. It does not explain the output format, default behavior for sections, or any constraints on briefing_type. The agent lacks enough context to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain parameters. It does not mention 'customer_id', 'briefing_type', or 'include_sections' at all, leaving the agent to infer from parameter names alone. This is a critical gap.

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?

The description 'Generate CS briefing before renewal calls' clearly identifies the action (generate) and resource (CS briefing) and provides context (before renewal calls). It distinguishes from sibling tools like 'generate_research_brief' by specifying the CS and renewal focus, though it could be more specific about what a CS briefing entails.

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?

No guidance on when to use this tool versus alternatives. Sibling tools like 'generate_research_brief' or 'create_stakeholder_report' might overlap, but the description does not clarify when to choose this one. No explicit exclusions or prerequisites.

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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