cortex_capabilities
Free: service capabilities, supported chains/providers, payment terms and discovery index.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free: service capabilities, supported chains/providers, payment terms and discovery index.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 burden. It does disclose one meaningful behavioral trait — the call is free (no payment terms charged to the caller) — which is genuinely useful given 'payment terms' is part of the returned payload. However, it says nothing about auth requirements, rate limits, or whether the call is read-only, though the zero-parameter shape makes the risk low.
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 most decision-relevant token ('Free') front-loaded, followed by an enumeration of returned content. No filler, though 'discovery index' is a slightly opaque label.
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?
With no output schema and no annotations, the description does useful work by enumerating the categories of information returned, partially compensating for the missing output contract. It still leaves the agent guessing at the exact shape of the response and at whether this is a prerequisite call for the sibling data tools.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. Schema coverage is 100% but trivially so for an empty object.
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 the resource precisely — service capabilities, supported chains/providers, payment terms, discovery index — which is clearly distinct from the data-retrieval siblings (balances, prices, tx_history). The verb is implicit ('returns/lists') but the content of the resource is unambiguous, so an agent can tell this is the service-metadata endpoint.
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?
No explicit when-to-use statement or named alternatives, but the listed contents (capabilities, supported chains/providers, discovery index) strongly imply this is the discovery/introspection call an agent makes before invoking data tools. The 'Free' prefix is a mild cost signal rather than usage guidance.
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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