A Florida organizer checklist as markdown. Slugs: florida-food-truck-night (breweries, HOAs, churches), festival-food-vendors (festivals, farmers markets), city-special-event-food-vendors (public property).
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries full burden. It states the output format (markdown) and lists the available checklists, which is helpful. However, it does not disclose side effects, authentication needs, or whether the tool is read-only. As a 'get' tool, it is likely safe, but this is not explicitly stated.
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 two sentences, front-loading the purpose and then providing the slug details. Every word earns its place; no redundant or trivial content.
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?
For a simple tool with one parameter and no output schema, the description covers the key aspects: what it returns, what parameters are available, and their meanings. It could mention that the checklist is specifically for Florida organizers, but that is already implied. Slightly missing is the format/structure of the markdown content.
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?
Schema coverage is 0%, but the description fully compensates by explaining each enum value in context (e.g., 'florida-food-truck-night (breweries, HOAs, churches)'). This adds meaning beyond the raw enum list, helping the agent select the correct slug.
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 states 'A Florida organizer checklist as markdown', clearly indicating the tool returns a checklist for event organizers in Florida. It lists three specific slugs with their contexts, distinguishing it from other 'get_' tools. However, it could be more explicit about the exact nature of the checklist (e.g., requirements, steps).
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?
Usage is implied: this tool is for obtaining an organizer checklist for Florida events. The description lists the available slugs and their contexts (e.g., breweries, festivals), giving some guidance on when to use it. However, there is no explicit comparison to sibling tools or conditions for when not to use it.
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 has a clearly distinct purpose: vendor search, scorecard retrieval, checking improvement, event listing, checklist retrieval, platform info, signup link, and vendor decision. Aliases (fetch/search) are explicitly described as shortcuts, not overlapping tools.
Most tools follow a consistent verb_noun pattern (e.g., get_scorecard, list_open_events). The aliases 'fetch' and 'search' break this pattern but are clearly documented as alternatives for specific connectors, not primary tool names.
12 tools is well-scoped for the server's purpose: covering vendor search, scorecard, decision, events, checklists, and platform setup. Each tool serves a necessary function without bloat.
The tool set covers core workflows: vendor discovery, compliance checking, checklist guidance, and event information. Minor gaps exist (e.g., no tool for submitting vendor applications, but that is handled via web app links).
