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Glama

Semrush

by io.github.pipeworx-io

Domain Overview

domain_overview
Read-onlyIdempotent

Domain overview (Semrush type=domain_ranks): high-level SEO/PPC summary for a domain. Returns parsed rows with columns: Db (database), Dn (domain), Rk (Semrush rank), Or (organic keywords count), Ot (organic traffic), Oc (organic traffic cost), Ad (adwords/paid keywords count), At (paid traffic), Ac (paid traffic cost). Consumes your Semrush API units.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to analyze, e.g. "apple.com" (no scheme).
_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.
display_limitNoMax rows to return.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive. Description adds that it consumes Semrush API units and lists all output columns, which is useful behavioral context beyond annotations.

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?

Two sentences: first states purpose and output format, second explains API unit cost. Front-loaded with key info, no wasted words.

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?

No output schema but description lists columns. Parameters well-documented. Missing error handling or rate limit info, but annotations provide safety profile. Satisfactory for the tool's complexity.

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 baseline is 3. Description adds meaning by clarifying that _apiKey is 'your own' key and domain should be without scheme, and database is a 2-letter code with default 'us'.

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 uses specific verb 'summary' and resource 'domain' with clear context (SEO/PPC). It lists exact columns returned, distinguishing it from siblings like domain_organic_keywords and domain_paid_keywords which are more granular.

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?

Description implies it's for high-level overview but lacks explicit when-to-use or when-not-to-use guidance. No mention of alternatives or conditions under which to prefer other tools.

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