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Get SERP features

get_serp_features
Read-onlyIdempotent

Aggregate SERP-feature presence (AI Overview, Featured Snippet, People-Also-Ask, Local Pack, Video, Images, Shopping, Knowledge) across the site's tracked keywords, from the latest ranking run.

Input Schema

NameRequiredDescriptionDefault
site_idYesUUID of the site

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds useful context about the data source ('latest ranking run') and aggregation granularity, but says nothing about output shape, counts vs. booleans, or whether data can be stale.

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?

A single front-loaded sentence that names the operation, the subject, the feature list, and the data scope with zero filler. Every clause earns its place.

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

Completeness4/5

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

For a read-only single-parameter aggregation tool with no output schema, the description conveys what is aggregated and over what scope. It could go slightly further on return format (e.g., presence counts per feature), but nothing essential for invoking it correctly is missing.

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?

Only one parameter with 100% schema coverage, so the schema fully documents site_id. The description implies the site scoping ('across the site's tracked keywords') but adds no new semantics beyond what the schema already provides, so the baseline of 3 applies.

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?

States a specific verb ('Aggregate') plus resource ('SERP-feature presence') and scopes it ('across the site's tracked keywords, from the latest ranking run'), even enumerating the features covered. It is a broad superset that implicitly differs from narrower siblings like get_ai_overview_presence, but it never names or contrasts any sibling explicitly.

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 when-to-use guidance, no prerequisites, and no mention of alternatives such as get_ai_overview_presence or get_ai_visibility that overlap with this feature set. The only contextual hint is 'from the latest ranking run', which concerns data freshness rather than usage.

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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