categoriesList the categories used across NYC Parks events (with counts) — filterable facets like "Best for Kids", "Sports", "Nature Exploration", "Fitness".
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many top categories (default 50). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. The description adds value by explaining that categories are returned with counts and are filterable facets (e.g., 'Best for Kids', 'Sports'). This provides context beyond annotations, though behavioral traits are well-covered.
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?
Single sentence, no redundancy, directly states the tool's function. Every word earns its place. Excellent conciseness.
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 list tool with one optional parameter and comprehensive annotations, the description fully clarifies purpose and output (categories with counts). No gaps remain.
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 description coverage is 100% for the single parameter 'limit'. The description does not add new information about parameters beyond what the schema provides. Baseline 3 is appropriate.
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?
Description clearly states verb 'List' and resource 'categories used across NYC Parks events'. It distinguishes from sibling tools like 'events' by specifying categories with counts and example facets. The purpose is unambiguous.
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 guidelines are implied but not explicit. There is no mention of when to use this tool versus alternatives (e.g., 'events'), nor any exclusions or prerequisites. The description provides context but lacks explicit guidance for selection.
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.
The ask_pipeworx/ask_pipeworx_beta/ask_pipeworx_grounded trio are functionally near-identical to an agent (the beta is explicitly described as currently identical to stable), and the five polymarket_* tools (edges, arbitrage, edge_tracker, fill_risk, kalshi_spread) have heavily overlapping concerns around finding and validating prediction-market edges. The descriptions are detailed, but the boundaries require careful reading to pick correctly.
All tools use snake_case and mostly follow a verb-first or noun-phrase convention, with recognizable family prefixes (ask_pipeworx_*, polymarket_*, pipeworx_*) that aid navigation. Minor deviations exist — bare nouns like categories and events, and the inconsistent verb placement in bet_research vs. validate_claim — but the overall pattern is predictable.
33 tools is already heavy, but the fatal problem is that the server is named 'Nyc Parks' while ~31 of 33 tools are a generic Pipeworx data-retrieval/prediction-market toolkit. The count is egregiously mismatched to the stated purpose; only 2 tools relate to NYC Parks at all.
For the server's literal name, the surface is severely incomplete: categories and events exist, but there is no way to look up parks, facilities, permits, or event details, and no CRUD-lifecycle coverage. Viewed as a Pipeworx data toolkit the surface is quite thorough, but that is not what the server claims to be, so the stated NYC Parks domain is barely covered and creates dead ends.