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Glama

VarynForge

by com.varynforge

Set opportunity status

set_opportunity_status
Destructive

Dismiss or restore an opportunity cluster. status=dismissed hides it from list_opportunities and the create_content_plan_from_opportunities harvest; status=default restores it. Dismissal lasts until the next research run rewrites the project clusters — for a durable "not my product" signal use set_excluded_terms. Removing a cluster from the pool changes the 0-100 normalization of every remaining cluster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
contextYesOne sentence: what is the operator trying to achieve right now? Describe their goal, not this tool's purpose.
clusterIdYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • addedInput schema / properties / context
      Added value: +{
+  "description": "One sentence: what is the operator trying to achieve right now? Describe their goal, not this tool's purpose.",
+  "type": "string"
+}
    • changedInput schema / required
      Previous value: -[
-  "projectId",
-  "clusterId",
-  "status"
-]New value: +[
+  "projectId",
+  "clusterId",
+  "status",
+  "context"
+]
  2. Added

TDQS

A4.9/5.0
Behavior5/5

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

Annotations only supply destructiveHint=true and readOnlyHint=false. The description adds important behavioral detail: dismissal hides from specific tools, is reversible via status=default, lasts only until the next research run, and changes normalization of all remaining clusters. This goes well beyond the annotation hints.

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

Conciseness5/5

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

Four sentences, each carrying substantive information: the action, the affected surfaces, the persistence boundary with an alternative, and the normalization side effect. No filler or repetition of schema content.

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?

For a mutating tool with no output schema, the description covers what the tool does, when to use it, when to use an alternative, how long effects last, and what side effects occur. An agent has enough to invoke it correctly.

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 only 25%, but the description compensates for the crucial status parameter by explaining what each enum value does. It also implicitly clarifies clusterId as the opportunity cluster being dismissed or restored. The context parameter is already well explained in the schema, and projectId/clusterId are standard UUID identifiers.

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?

Description opens with a specific verb and resource: 'Dismiss or restore an opportunity cluster.' It then clarifies the two status values and their visibility effects, making the tool's purpose unambiguous and distinguishable from siblings like set_excluded_terms.

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?

The description explicitly names set_excluded_terms as the durable alternative for 'not my product' signals, and states that dismissal is temporary until the next research run. It also names the affected surfaces (list_opportunities and create_content_plan_from_opportunities), giving clear context for when this tool is appropriate.

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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools target a distinct resource and action, and the descriptions carefully cross-reference close alternatives (e.g., add_article_suggestion vs create_article_suggestion_with_input vs accept_idea). A few brief/read variants like get_article_brief, get_write_handoff, and download_brief_markdown could still be confused despite helpful explanations, so the set is not perfectly unambiguous.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun snake_case pattern throughout: get_*, list_*, create_*, update_*, set_*, add_*, delete_*, start_*, expand_*, etc. Even the less common names like lint_draft and remap_asset are still clear verb_noun constructions.

Tool Count1/5

At 57 tools, this far exceeds the 50+ extreme threshold for a single MCP server. Even for a broad content workflow, the surface is overwhelming and would benefit from consolidation or splitting into focused servers.

Completeness4/5

The tool set covers the full content lifecycle: project setup, research runs, opportunity clustering, suggestion creation, brief generation, drafting, linting, publishing, reporting, and account management. Minor gaps exist—destinations and projects cannot be deleted via MCP, and there is no direct update for article suggestion metadata—but these are workable via the web UI or existing tools.

Resources