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VarynForge

Get page dossier

get_page_dossier
Read-only

Get a page dossier — URL, title, project rankings, ownership. headingOutline, targetKeywords, and contentAnalysis populate for owned (asset-mapped) pages only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageIdYes
contextYesOne sentence: what is the operator trying to achieve right now? Describe their goal, not this tool's purpose.
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: -[
      -  "pageId",
      -  "projectId"
      -]New value: +[
      +  "pageId",
      +  "projectId",
      +  "context"
      +]
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

The readOnlyHint already signals a safe read, so the description's main additive value is the disclosure that headingOutline, targetKeywords, and contentAnalysis only populate for owned (asset-mapped) pages. This is a useful conditional behavior, but the description introduces no further behavioral context such as error cases or data freshness.

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?

The description is a single, front-loaded sentence that states the resource, the primary fields, and the conditional caveat in order of importance. Every clause adds information; there is no filler or repetition.

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

Completeness3/5

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

With no output schema, the description provides only a partial list of return fields and does not specify the full response shape, ownership rules, or error behavior. It covers the core purpose and the most salient caveat, so an agent can call it, but there are remaining gaps for a tool with no structured return info.

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

Parameters2/5

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

Only the context parameter has a schema description (33% coverage), and the tool description itself gives no direct explanation of pageId or projectId or their relationship. The phrase 'page dossier' and the mention of 'project rankings' offer only an implicit hint that pageId targets the page and projectId scopes the project; this does not compensate for the low schema coverage.

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 identifies a specific resource ('page dossier') and lists its contents (URL, title, project rankings, ownership), with a clear conditional caveat. It does not explicitly contrast against sibling tools like get_project or get_project_asset, so it misses the top bar for differentiation, but the verb+resource is unambiguous.

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

Usage Guidelines3/5

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

The description implies when the tool is appropriate — when the operator needs a page-level dossier and knows the page/project — and hints that unowned pages yield partial data. However, it provides no explicit 'when to use vs. alternatives' or exclusion criteria, leaving the choice 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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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