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Semrush

by io.github.pipeworx-io

Keyword Overview

keyword_overview
Read-onlyIdempotent

Keyword overview (Semrush type=phrase_this): search metrics for a single keyword phrase. Returns parsed rows with columns: Ph (phrase), Nq (search volume), Cp (CPC), Co (competition 0-1), Nr (number of organic results), Td (trend, last 12 months as |-separated values). Consumes your Semrush API units.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phraseYesKeyword phrase to look up, e.g. "running shoes".
_apiKeyYesYour own Semrush API key (BYO). Passed to Semrush as the `key` query param. Consumes your Semrush API units.
databaseNo2-letter Semrush regional database (e.g. us, uk, de, fr, es, ca, au). Default us.

TDQS

A4/5.0
Behavior4/5

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

Annotations declare readOnly, idempotent, openWorld. Description adds important cost info 'Consumes your Semrush API units' and details returned columns, exceeding what annotations provide.

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 sentences, no verbosity: purpose, return format, cost. Front-loaded and every sentence adds value.

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 simple tool with 3 params and no output schema, description explains purpose, columns, and cost. Could optionally include an example value, but complete enough.

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?

Schema covers all 3 parameters with descriptions (100% coverage). Description adds no extra meaning beyond schema, so baseline 3 is appropriate.

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?

Description clearly states the verb 'search metrics' and resource 'single keyword phrase', and distinguishes from sibling tools like domain_overview which focus on domains.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage for single keyword phrase, but no explicit when-to-use or when-not-to-use compared to alternatives like domain_organic_keywords.

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

A4.1/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is some overlap: ask_pipeworx and ask_pipeworx_grounded are very similar, and the multiple Polymarket tools could be confused. The memory tools (remember, recall, forget) are distinct.

Naming Consistency3/5

Tool names consistently use snake_case, but the pattern is not strictly verb_noun. Some names are descriptive phrases (e.g., scan_competitor_ai_presence), while others are straightforward (e.g., keyword_overview). Overall readable but not highly consistent.

Tool Count3/5

32 tools is on the high side for a single server, but the scope is broad (SEO, finance, FDA, betting, memory). The tool count feels slightly excessive, yet each tool appears justified by its specific use case.

Completeness4/5

The tool set covers a wide range of business research needs: SEO, SEC filings, FDA data, betting analytics, and memory. Minor gaps exist (e.g., no direct social media or HR data), but the coverage is impressive for a general-purpose data server.

Resources