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get_program_analytics

Read-only

Get analytics for one of your loyalty programs

Input Schema

NameRequiredDescriptionDefault
token_addressYesToken contract address (0x...)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / token_address
      Added value: +{
      +  "description": "Token contract address (0x...)",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "token_address"
      +]
  2. First observed

TDQS

C2.5/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish readOnlyHint=true and destructiveHint=false, so the safety profile is covered. Beyond that the description adds nothing: no indication of the metric set, time window, aggregation level, or response shape for an analytics call with no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no redundancy, so nothing is wasted, but the terseness comes at the cost of substance rather than being efficient. It is under-specified rather than lean.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an analytics tool with no output schema, the description should say what the agent will receive (metrics, totals, time series). Instead it leaves the return value entirely unknown, which is a significant completeness gap for a query whose value is the data returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single parameter is fully documented as a token contract address. The phrase 'one of your loyalty programs' lightly implies token_address selects the program, but adds no format or selection guidance beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

It names a verb and resource ('Get analytics for ... loyalty programs'), which is better than a tautology, but 'analytics' is undefined and the description does nothing to separate it from siblings like get_program_workflow_status or list_loyalty_programs. An agent cannot tell what data this actually retrieves.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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, no prerequisites, and no named alternative. 'One of your loyalty programs' hints that a program must exist, but nothing routes the agent between this and adjacent status/list tools.

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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