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Add keywords to a project

add_keywords_to_project
Idempotent

Start tracking new keywords on a Ranklogs project.

Requires a connection with write access. Keywords already tracked are skipped, so repeating a call is safe. Positions appear after the next daily rank check — this does not run an immediate check. Adding is limited by the plan keyword allowance; whatever fits is added and the rest come back as skipped.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesKeywords to start tracking. Duplicates are ignored.
project_idYesRanklogs project id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
addedYes
skippedYes
added_countYes
skipped_countYes
quota_remainingYes

TDQS

A4.4/5.0
Behavior5/5

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

Adds substantial behavior beyond annotations: write-access requirement, idempotent skip behavior, no immediate rank check, and plan-allowance partial success. These details go well beyond the idempotentHint and readOnlyHint flags, giving an agent an accurate model of side effects and timing.

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?

Purpose is front-loaded, and each subsequent sentence adds a distinct operational constraint: auth, idempotency, timing, and limits. No filler or repeated schema information.

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 mutation tool with an output schema, the description covers the prerequisites, safety, timing, and failure/partial-success behavior. An agent has everything needed to invoke it correctly and set expectations.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds meaningful keyword behavior: already-tracked keywords are skipped and plan allowance limits how many are added. This clarifies what happens to the keywords array beyond the raw schema constraints.

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?

Description opens with 'Start tracking new keywords on a Ranklogs project,' a specific verb and resource that clearly identifies the tool's function. It does not explicitly name or contrast sibling tools, but the keyword/project scope distinguishes it from the other add/research tools available.

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?

Provides clear context: requires write access, repeated calls are safe because already-tracked keywords are skipped, and results only appear after the next daily rank check. It does not mention alternative tools or when-not-to-use conditions, so it stops short of explicit 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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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.

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