Compare projects by deployment, maintenance, difficulty, Cloudflare readiness, and use case fit.
| Name | Required | Description | Default |
|---|---|---|---|
| criteria | No | ||
| deployment | No | ||
| require_d1 | No | Fail closed unless the tool result is backed by D1 instead of seed fallback. | |
| project_ids | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds no behavioral context beyond the readOnly and non-destructive annotations. It does not disclose the D1/seed fallback behavior hinted at by the require_d1 parameter, nor does it explain what 'compare' returns in terms of output format or data source. The annotations cover safety but not these operational nuances.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loaded, and contains no filler. Every word contributes to the meaning, making it concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, and the description does not explain what the comparison result looks like (e.g., ranking, side-by-side table). It also omits information about data fallback and alternative usage contexts. Given the 4-parameter complexity, the description is too minimal to be considered complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With only 25% schema description coverage, the description partially compensates by listing the comparison dimensions, which likely map to the 'criteria' parameter. However, it does not clarify the 'deployment' string parameter or other parameters beyond what is in the schema. It adds some semantic value but leaves gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Compare' and the resource 'projects', and lists specific comparison dimensions (deployment, maintenance, difficulty, Cloudflare readiness, use case fit). This distinguishes it from sibling tools like get_project (single retrieval) and search_projects (finding projects).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you need to compare projects across those criteria, but it does not explicitly state when to avoid this tool or mention alternatives. It lacks explicit 'when to use' or 'when not to use' guidance, so it falls into the implied usage category.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a distinct stage of the workflow: search_projects finds candidates, get_project retrieves detailed knowledge, recommend_project provides tailored suggestions, compare_projects contrasts options, and get_agent_workflow guides the overall process. No two tools have overlapping purposes, making misselection very unlikely.
All tool names follow a consistent verb_noun pattern (compare_projects, get_agent_workflow, get_project, recommend_project, search_projects). The two 'get_' tools are clearly differentiated by their objects (agent_workflow vs project), maintaining uniform style and predictability.
Five tools is well within the ideal 3-15 range and perfectly scoped for a project discovery and comparison server. Each tool earns its place, covering search, retrieval, recommendation, comparison, and workflow guidance without redundancy or bloat.
The tool set covers the full user journey: discovering projects via search, getting in-depth information via get_project, obtaining personalized recommendations, comparing alternatives, and following a structured analysis workflow. No obvious gaps exist for the platform's stated purpose.
