kalshi_check
PRO. Risk-score a Kalshi market's rules by ticker (rules_primary + rules_secondary).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
PRO. Risk-score a Kalshi market's rules by ticker (rules_primary + rules_secondary).
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | ||
| access_token | No | Subscriber token from /success (or Authorization: Bearer) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden and falls short: it never states whether this is a read-only operation, whether a subscription is required (the 'PRO' hint and access_token parameter imply a paywall but this is never confirmed), or what 'risk-score' actually yields. The only behavioral hint is the parenthetical naming which rule fields feed the scoring.
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?
A single compact sentence with the operation and the scoping data front-loaded; nothing is padded. The unexplained 'PRO.' fragment is the one piece of noise that doesn't earn its place.
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 tool with no annotations, no output schema, and no explanation of what a risk score looks like or which sibling it supersedes, the definition leaves too much unknown. An agent cannot predict the response shape or confirm the paid-access prerequisite before invoking it.
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 50% — only access_token is documented, and that documentation ('Subscriber token from /success') lives in the schema, not the description. The description adds 'by ticker' but says nothing about ticker format, case sensitivity, or what happens on an unknown ticker, so it does not compensate for the undocumented required parameter.
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 names a specific verb ('Risk-score') and a specific resource ('a Kalshi market's rules'), plus the identifier used ('by ticker') and the fields analyzed (rules_primary + rules_secondary). It does not, however, differentiate itself from closely related siblings such as rule_check, rule_check_full, or scan_risky, nor does it explain the 'PRO' prefix.
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?
There is no statement of when to use this tool versus rule_check, rule_check_full, or scan_risky, all of which appear to operate on the same rule data. The only usage signal is the 'PRO' tag, which is never explained as a subscription or access condition.
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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