Momentum & pressure index for a live T20 chase — quantifies which side is gaining (the swing signal) plus a pressure score. In-play trader signal. Pay per call via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| curr | Yes | Current state {balls_bowled, wickets, cum_runs, target}. | |
| prev | Yes | Prior state {balls_bowled, wickets, cum_runs, target}. | |
| target | Yes | Target to win. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, placing the full burden on the description. The description discloses the output (momentum and pressure index) but fails to mention any behavioral aspects such as data freshness, rate limits, side effects, or whether results are real-time or delayed. The cost note is helpful but insufficient.
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 concise at two sentences, front-loaded with the primary purpose. It efficiently conveys the core functionality without redundancy. However, it could benefit from slight restructuring to include output expectations.
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?
Given the lack of an output schema, the description should explain the return format or structure of the momentum and pressure index. It only provides high-level terms without specifying whether output is numeric, textual, or includes additional metadata. The tool involves nested input objects, yet no guidance on data types or example usage is given.
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 100%, with all parameters described in the schema (target, prev, curr). The description adds no additional meaning or constraints beyond what the schema already provides, resulting in a baseline score of 3.
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 tool's function: calculating momentum and pressure index for a live T20 chase. It uses specific terms like 'swing signal' and 'pressure score', and identifies it as an 'in-play trader signal', distinguishing it from sibling cricket tools like chase difficulty or win probability.
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?
While the description implies use for in-play trading and mentions cost ('Pay per call via x402'), it does not explicitly state when to use this tool over alternatives like hsh-cricket-chase-winprob or hsh-cricket-timeline. No exclusion criteria or context for selection is provided.
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.
Most tools have distinct purposes, but some closely related tools (e.g., hsh-b2b-*, hsh-esg-* variants) could cause confusion. Descriptions help differentiate, but an agent might still misselect similar products.
Naming convention is mixed: some tools use hyphens (hsh-b2b-contact), others use underscores (hsh_broker_data_request). While mostly readable, the inconsistency could be confusing for agents expecting a uniform pattern.
32 tools is on the high side for a single server, but given its purpose as a data marketplace, the large number reflects a wide catalog. However, it may be overwhelming for agents to navigate.
Covers many data domains but has obvious gaps (e.g., weather, social media). The inclusion of custom data request tools (hsh_describe_data_need, hsh_broker_data_request) mitigates these gaps, allowing agents to request missing data.
