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ecidk

Research Insights MCP Server

by ecidk

validate_insight_batch

Assign validation status to multiple insights at once, with optional reason codes and notes, to streamline review.

Instructions

Bulk validate multiple insights

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
insight_idsYes
validation_statusYes
reason_codesNo
reviewer_notesNo
Behavior2/5

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

With no annotations, the description should reveal behavioral traits. It only says 'Bulk validate', implying mutation of multiple insights, but lacks details on side effects (e.g., irreversible changes), required permissions, or how validation updates are persisted. The description adds minimal value beyond the tool name.

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 a single phrase with no structure or sentences. While short, it is under-specified to the point of being uninformative. Conciseness is not achieved at the expense of clarity; here it sacrifices essential information.

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?

Given the tool's 4 parameters, no output schema, and many sibling tools, the description is critically incomplete. It does not explain the return value, validation behavior, or how results are communicated. The agent lacks sufficient 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?

Schema description coverage is 0%, so the description must compensate. However, it provides no explanation of the four parameters, including the enum for validation_status, the role of reason_codes, or how reviewer_notes are used. The description adds zero semantic value for parameter usage.

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 'Bulk validate multiple insights' clearly specifies a verb ('validate') and a resource ('insights') with a batch scope. However, it does not differentiate from sibling tools like 'override_validation' or 'get_validation_queue', and could be more precise about what 'validate' entails (e.g., changing status).

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 usage guidance is provided. The description does not mention when to use this tool versus alternatives such as 'override_validation' or 'search_by_validation_status', nor does it specify prerequisites or typical scenarios.

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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