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PastCharts

get_app_rank_history

Every saved chart an app has been on, with its daily ranks. Get the id from search_apps.

Input Schema

NameRequiredDescriptionDefault
idYes
storeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It discloses the shape of the result (all saved charts plus daily ranks), which implies a read-only, potentially large historical payload, but says nothing about permissions, date-range limits, pagination, or volume — meaningful gaps for a history endpoint.

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?

Two short sentences with zero filler; the resource and payload are front-loaded and the prerequisite follows immediately. Nothing can be removed without losing information.

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?

For a simple two-parameter read tool with no output schema, the description covers what is returned at a high level, which is the main thing missing otherwise. However, the semantics of the store parameter and any constraints on history depth or payload size are absent, leaving gaps an agent would hit at call time.

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 0%, so the description must compensate. It does add real meaning for id by naming search_apps as the source, but it says nothing about store beyond the self-explanatory enum values, leaving unclear whether store must match the store of the id returned by search_apps.

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

Purpose4/5

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

The description names a specific resource (every saved chart an app has been on) and the payload (daily ranks), which is enough to distinguish it from siblings like get_chart or get_top_trends. It falls short of a 5 because it doesn't explicitly contrast itself with get_chart, which an agent could reasonably confuse with chart history.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Get the id from search_apps" gives a concrete prerequisite and call sequence, so the agent knows it cannot invoke this tool cold. There is no explicit when-not guidance or pointer to get_chart for chart-level detail, so it stops short of full alternative routing.

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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