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ESG Hub MCP Server

Flag Content for Curation

flag_content

Queue one ESG Hub page for human curation — delist, remove, or review — with a reason. Nothing changes immediately: the call records a pending request and returns a proposal_id; the page is not modified until a curator approves it. Use it when an article is outdated, duplicated, or inaccurate; to edit its facet tags instead use tag_content. action controls the requested outcome: delist hides the page from listings, remove deletes it, and review (the default) flags it for a curator to decide. Give page_id as a permalink, slug, or record ID (resolved server-side) and a reason of at least 10 characters. Requires ESG_HUB_WRITE_TOKEN; rate-limited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoRequested outcome: delist (hide from listings), remove (delete), or review (default)review
reasonYesWhy the page should be curated (min 10 characters)
page_idYesPage permalink, slug, or record ID (e.g., 'page:abc123')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
proposal_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing the deferred/proposal workflow ('nothing changes immediately', returns a proposal_id, page unmodified until a curator approves) and states operational constraints: ESG_HUB_WRITE_TOKEN required and rate-limited. This is exactly the destructive-mechanics context an agent needs and does not merely restate destructiveHint=false.

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

Conciseness4/5

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

Dense but front-loaded: the effect-not-immediate caveat is stated early, then usage, then per-action semantics, then auth constraints. Every sentence carries information, though the action semantics partly duplicate the schema enum and could be trimmed.

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

Completeness5/5

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

Output schema exists so return values need no explanation, yet the description usefully names proposal_id. With 3 params fully documented, auth requirements, rate limits, and the deferred-approval model all disclosed, an agent has everything needed to call this correctly and interpret the result.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, and the description still adds value: server-side resolution of page_id from permalink/slug/record ID, the min-10-character reason constraint, and the meaning of each action value including the default. Minor overlap with the enum descriptions keeps it from a 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (queue for human curation) plus the resource (one ESG Hub page) and enumerates the three possible outcomes. It explicitly names the sibling it is not (tag_content) for the adjacent edit-tags case, so an agent can route correctly without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use triggers ('outdated, duplicated, or inaccurate') and an explicit alternative with its own condition ('to edit its facet tags instead use tag_content'). Nothing about selection is left to inference.

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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