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occirank

Haloscan MCP Server

by occirank

get_keywords_questions

Find keyword-related questions to drive content strategy. Filter results by volume, competition, and question types to uncover valuable SEO opportunities.

Instructions

Obtenir les questions liées aux mots-clés.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lineCountNoMax number of returned results.
order_byNoField used for sorting results. Default sorts by descending volume.
orderNoWhether the results are sorted in ascending or descending order.
volume_minNo
volume_maxNo
cpc_minNo
cpc_maxNo
competition_minNo
competition_maxNo
kgr_minNo
kgr_maxNo
kvi_minNo
kvi_maxNo
kvi_keep_naNo
allintitle_minNo
allintitle_maxNo
word_count_minNo
word_count_maxNo
includeNo
excludeNo
keywordYesSeed keyword
exact_matchNo
question_typesNo
keep_only_paaNo
depth_minNo
depth_maxNo
Behavior1/5

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

With no annotations and a one-sentence description, the tool's behavioral traits are completely undisclosed. The agent does not know about pagination, rate limits, data freshness, or the nature of 'questions' returned. This is a critical gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While extremely concise, the description is too minimal to be useful. It sacrifices essential information for brevity, resulting in a single vague sentence that does not earn its place given the tool's complexity.

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

Completeness1/5

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

Given 26 parameters, minimal schema coverage, no annotations, and no output schema, the description is grossly incomplete. An agent cannot infer required parameters beyond 'keyword', nor understand the filters, return format, or limitations.

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

Parameters1/5

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

The description adds no value beyond the schema for 26 parameters. With only 15% schema description coverage, the burden on the description is high, but it fails to clarify any parameter's meaning, purpose, or 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?

The description 'Get questions related to keywords' clearly states the tool's function and distinguishes it from sibling tools that return keywords, domains, or other data. However, it lacks specificity about the source of questions (e.g., SERP People Also Ask, forums) which slightly reduces clarity.

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 guidance is provided on when to use this tool versus alternatives like get_keywords_find or get_keywords_related. There is no mention of prerequisites or typical use cases, leaving the agent without context for correct invocation.

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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