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ecidk

Research Insights MCP Server

by ecidk

export_to_productboard

Send user research insights to a ProductBoard board, with auto-tagging and provenance to streamline feature prioritization.

Instructions

Send insights to ProductBoard

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
insightsYes
boardNoFeature Ideas
auto_tagNo
include_provenanceNo
Behavior1/5

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

No annotations are provided, and the description gives zero behavioral information such as side effects, authentication requirements, rate limits, or data transformation behavior. The agent has no insight into what happens during export.

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?

The description is extremely short (one sentence), but this is under-specification rather than conciseness. It fails to earn its place by adding value beyond the tool name.

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

Completeness1/5

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

With four parameters, no output schema, and no descriptions, the tool is highly complex. The single-sentence description is completely inadequate to guide an agent in using 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?

Schema description coverage is 0%, and the description does not mention any of the four parameters (insights, board, auto_tag, include_provenance). The agent cannot infer parameter meanings or usage from the description.

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 'Send insights to ProductBoard' restates the tool name (export_to_productboard) without adding specificity. It does not differentiate from sibling tools like export_to_signal or sync_to_jira, and lacks any scope or context.

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 description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no contextual cues. The agent is left without any decision-making support.

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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