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erayendes

Heimdall App Store Connect MCP

analytics_reports__instances__list

Read-onlyIdempotent

Retrieve all instances for a specified analytics report, with filters for granularity and processing date.

Instructions

List the instances belonging to an analytics report. [GET /v1/analyticsReports/{id}/instances]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesResource identifier.
limitNomaximum resources per page
next_urlNoAbsolute `links.next` URL from a previous response, to fetch the next page. When set, all other parameters are ignored.
filter_granularityNofilter by attribute 'granularity'
filter_processingDateNofilter by attribute 'processingDate'
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the agent knows it's a safe read operation. The description adds the HTTP method and path but no additional behavioral context (e.g., pagination behavior). It does not contradict annotations.

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

Conciseness5/5

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

The description is extremely concise: one sentence stating the action and resource, followed by the HTTP endpoint. No wasted words.

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

Completeness3/5

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

The description is minimal. It does not mention pagination (limit, next_url) or filtering options (filter_granularity, filter_processingDate) that are in the schema. For a list operation with no output schema, more context on returned data would be helpful, but annotations partially compensate.

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 description coverage is 100%, so the baseline is 3. The description does not add any meaning beyond the schema; it only states the high-level purpose.

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

Purpose5/5

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

The description clearly states the verb 'list' and the resource 'instances belonging to an analytics report'. The inclusion of the HTTP endpoint further clarifies the operation. It distinguishes from siblings like `analytics_report_instances__get` which retrieves a single instance.

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?

No guidance on when to use this tool versus alternatives. It does not mention that it lists all instances for a given report, nor does it exclude other related tools like `analytics_report_instances__get` for a specific instance.

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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