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Glama

VarynForge

List projects

list_projects
Read-only

List all projects for the authenticated operator — paginated, sortable by createdAt, niche, or industry. name is the canonical project name (operator-set, falling back to site brand then niche name) — match operator references against it; niche.name is the market niche, distinct metadata. lastActivityAt is the most recent change to the project or any of its content pieces — when the operator says "my project" without naming one, the highest lastActivityAt is the right pick.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYes
cursorNo
sortingNo

TDQS

A4.1/5.0
Behavior4/5

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

The readOnlyHint annotation already covers safety, and the description adds meaningful behavior: pagination, sortability, the canonical name fallback chain (operator-set, site brand, niche name), and the precise meaning of lastActivityAt. This goes well beyond the annotation without contradicting it.

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?

The description is dense but every sentence adds value: purpose, pagination/sorting, canonical name semantics, and recency meaning. It is front-loaded with the core action and avoids fluff, though the field semantics could be seen as slightly verbose relative to a simple list tool.

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

Completeness4/5

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

For a paginated read-only list with no output schema, the description provides key semantic anchors: name is the canonical identifier, niche.name is distinct metadata, and lastActivityAt drives disambiguation. It omits the default sort order and full response shape, but the essential decision-making context is present.

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

Parameters3/5

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

With 0% schema description coverage, the description must compensate. It explains the sorting values (createdAt, niche, industry) and mentions pagination, but it doesn't explain how cursor works or what limit's default/maximum implies. The sorting semantics are covered; the other two parameters are only implied.

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?

The description starts with 'List all projects for the authenticated operator', giving a specific verb, resource, and scope. It also states pagination and sortable fields, making the tool's behavior clear and distinguishing it from singular get_project or create_project siblings.

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

Usage Guidelines4/5

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

The description provides a concrete usage heuristic: when the operator refers to 'my project' without naming one, use the project with the highest lastActivityAt. It doesn't explicitly name alternatives or exclusions, but this rule gives actionable context for selecting the right project from the list.

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 have distinct purposes, but a few pairs could confuse an agent: add_article_suggestion vs create_article_suggestion_with_input, and get_article_brief vs download_brief_markdown vs get_write_handoff all deal with brief content. The detailed descriptions help disambiguate, but the overlap is real.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lowercase snake_case (create_project, list_opportunities, generate_article_brief, lint_draft). There is no mixing of camelCase, acronyms, or vague verbs, making the naming predictable and readable.

Tool Count2/5

50 tools is excessive for an MCP server, even for a broad platform like content operations. While the scope is large, this many tools will overwhelm agents and increase latency and context cost. Most practical servers are well under 25.

Completeness4/5

The tool surface covers the full content lifecycle: project creation, research, opportunity clustering, content planning, briefs, drafting, linting, publishing, and reporting. Minor gaps exist (e.g., no delete_project, no remove_destination, no direct analytics beyond distributions), but they are workarounds or handled in the web UI.

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