Get application
get_applicationOne application with its tracked keywords, competitors and listing snapshots.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| application_id | Yes | Application id from list_applications. |
get_applicationOne application with its tracked keywords, competitors and listing snapshots.
| Name | Required | Description | Default |
|---|---|---|---|
| application_id | Yes | Application id from list_applications. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is clear. The description adds worthwhile context by disclosing that the response bundles tracked keywords, competitors and listing snapshots, which annotations do not cover. It stops short of describing payload size, pagination or error behavior for a missing id.
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?
One short, front-loaded sentence with no redundant clauses. It is technically a sentence fragment missing a verb, which keeps it from being a model of structure, but every word earns 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 one-parameter read-only getter with full schema coverage and annotations covering safety, this is nearly sufficient: the description tells the agent what comes back. With no output schema, it could say more about the shape or volume of the returned data, but the core information an agent needs to call it correctly is present.
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 100%, and the single application_id parameter is documented with its source ('from list_applications'). The description adds no further meaning about the parameter, so the baseline of 3 applies when the schema does the work.
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 identifies a specific resource (one application) and enumerates the related payload it returns (tracked keywords, competitors, listing snapshots). 'One application' implicitly distinguishes it from list_applications. However, it is a noun phrase with no explicit verb, so the action is inferred from the name rather than stated.
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 guidance on when to call this tool versus list_applications or get_app_score_history, and no prerequisites or exclusions are mentioned. Usage is only implied by the name and the required application_id parameter.
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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