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Ranking alerts (movements)

get_ranking_alerts
Read-only

Threshold-crossing ranking events for one project over the last N days (7–90): keywords entering/leaving top 3/10/100 and big gains/drops.

Events are annotated with known Google update dates. Honest scope: these are computed movements, not user-configured alert rules — Ranklogs has no saved-alerts feature yet. project_id is a ranking id from list_projects. Free — calling it never consumes lookups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYes
totalYes
eventsYes
by_typeYes
projectYes
verdictYes
truncatedYes
window_daysYes

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the readOnlyHint, it discloses that calls are free and never consume lookups, and it honestly scopes the data as computed movements rather than user-configured alerts. It also reveals that events carry Google-update-date annotations, adding behavioral detail annotations do not cover.

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?

Three dense sentences carry the definition, exclusions, parameter source, and cost behavior with no filler. The most important identifying information is front-loaded in the first sentence.

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

Completeness5/5

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

For a two-parameter read-only tool with an output schema, the description covers all necessary invocation context: what it returns, how to identify the project, the time window, the cost implications, and the borderline between computed events and alert rules.

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

Parameters5/5

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

With 0% schema description coverage, the description compensates fully: days is explained as the trailing N-day window with the 7–90 range restated, and project_id is given real meaning as a 'ranking id from list_projects' rather than just a positive integer.

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 opens with a precise definition: threshold-crossing ranking events for a single project over a 7–90 day window, including exact event types (entering/leaving top 3/10/100, big gains/drops). It also distinguishes this tool from saved-alert rules, which prevents confusion with the 'alerts' label.

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?

It gives clear usage context: one project, last N days, project_id sourced from list_projects. It explicitly says this is not a saved-alerts feature, offering a when-not, though it does not name a concrete sibling alternative for saved alerts or current rankings.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools are distinct get_* analytics, but several overlap in purpose: get_ai_visibility vs get_share_of_voice are easy to confuse, and get_project_overview/get_content_action_plan/get_audit_summary all offer prioritized fixes. Descriptions help, but an agent could easily misselect for a generic 'what should I fix?' query.

Naming Consistency5/5

All names follow a consistent snake_case verb_noun pattern (add_, get_, generate_, list_, analyze_, research_), and the get_* prefix dominates read operations. Even win_prompt is a verb_noun and fits the style.

Tool Count2/5

27 tools is past the 25+ threshold and creates a heavy selection surface for an agent. While the SEO/AI-visibility domain is broad, many tools return overlapping 'health/fix/visibility' data and the set would benefit from consolidation.

Completeness3/5

Core workflows (projects, keywords, content briefs, audits, backlinks, AI visibility) are covered, but lifecycle gaps exist: keywords and AI prompts can be added but not removed, there is no list-AI-prompts tool, and no project creation/update is exposed. These are workable but notable missing operations.

Resources