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example_plans

Read-onlyIdempotent

Returns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
plansYesCurated example plans with download links for reports and zip bundles.
messageYes

Schema Changelog

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

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds valuable context beyond annotations: 'No API key required' and that the output is a curated preview. This is useful behavioral disclosure without contradicting annotations.

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 three sentences, front-loaded with the core function, then the usage scenario. Every sentence earns its place, with no redundant or filler 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?

The tool is simple (0 params, read-only), has an output schema, and annotations describe safety. The description fully covers purpose, usage, and access requirements, making it complete for an agent to decide when and how to invoke it.

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?

The tool has zero parameters, so the schema covers everything. Per the baseline for 0 params, a score of 4 is appropriate. The description adds no parameter-specific meaning, but none is needed.

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 states a specific verb ('Returns') and resource ('a curated list of example plans with download links for reports and zip bundles'). It distinguishes from siblings like plan_list by emphasizing 'curated' example plans rather than user-created ones, and the preview purpose is clear.

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 explicitly tells when to use the tool: 'to preview what PlanExe output looks like before creating your own plan' and 'especially useful when the user asks what the output looks like before committing to a plan.' It does not name alternative tools explicitly but implies the alternative is creating a plan, which is sufficient context.

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

A4.6/5.0
Disambiguation5/5

Each tool has a distinct, non-overlapping purpose within the PlanExe workflow. For example, example_plans and example_prompts serve different preparatory functions, while plan_create, plan_status, plan_stop, plan_resume, and plan_retry handle distinct lifecycle stages of plan generation. No tools appear to duplicate functionality, making selection clear for an agent.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern throughout, with all tools using snake_case and clear action-object pairs (e.g., plan_create, plan_status, plan_stop). The naming is predictable and readable, with no deviations in style or convention across the set.

Tool Count5/5

With 11 tools, the server is well-scoped for its purpose of generating and managing strategic project plans. Each tool serves a specific role in the workflow, from preparation (example_prompts, model_profiles) to creation (plan_create), monitoring (plan_status), lifecycle management (plan_stop, plan_resume, plan_retry), and feedback (send_feedback). The count is appropriate and avoids bloat or gaps.

Completeness5/5

The tool set provides complete coverage for the plan generation domain, including CRUD-like operations (create, list, status, stop, resume, retry) and supporting functions (examples, model selection, file retrieval, feedback). There are no obvious gaps; agents can handle the entire lifecycle from prompt drafting to plan retrieval and error recovery without dead ends.