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Glama

Staats

List sites

list_sites
Read-only

All sites on this account, with the public site codes used in their script tags and the ready-to-paste script_tag for each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
sitesYes
accountYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, and the description adds meaningful behavioral detail about what the tool returns: public site codes and ready-to-paste script tags. There is no contradiction and no missing safety-critical behavior for a read-only list operation.

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?

The description is a single focused sentence that front-loads the core purpose ('All sites on this account') before adding specific output details. Every word contributes value, and there is no redundancy or filler.

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 parameterless read-only list tool with an output schema present, the description provides sufficient context: scope and key output fields. It could be slightly more explicit about when to prefer this tool over related site-focused tools, but that gap is already covered in the usage dimension.

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?

The tool has zero parameters, so the description does not need to explain parameter meanings. The account-wide scope is stated clearly, and no filtering behavior is implied. This matches the baseline for a parameterless tool.

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 clearly identifies the resource (all sites on the account) and the key output contents (public site codes and ready-to-paste script tags). It lacks an explicit verb like 'Lists' or 'Returns', but the meaning is unmistakable. It does somewhat distinguish itself from sibling tools by emphasizing account-wide scope, though it does not name any alternative.

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?

The description implies this tool is for retrieving all sites, but it provides no explicit guidance on when to use it versus siblings like get_site_context, get_overview, or portfolio_overview. There are no when-not-to-use conditions or alternative tool references.

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

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct resources or analytic questions: site CRUD, annotation handling, overviews, funnels, journeys, and diagnostic checks are separated. A few tools like get_overview, query, and what_changed could overlap when asking 'what happened', but their descriptions differentiate the intended use well.

Naming Consistency3/5

The CRUD tools follow a clean verb_noun pattern (create_site, delete_site, list_sites, update_site_context), but analysis tools mix bare nouns (funnel, journeys), bare verbs (query), adverb-verb compounds (compare_around), and what_* question phrases (what_broke, what_changed). Naming is readable and snake_case is consistent, but the overall convention is not uniform.

Tool Count5/5

15 tools is within the well-scoped range and each tool earns its place: site management, annotation tracking, traffic overview, discovery, diagnostics, and comparison all have dedicated tools. There is no obvious redundancy or padding.

Completeness4/5

The surface covers the core domain well: sites can be created, listed, deleted, and contextualized; annotations can be recorded and listed; analytics support overview, breakdown, funnel, journey, and anomaly questions. Minor gaps exist such as no update/delete for annotations and no single-site getter separate from list_sites, but agents can work around these.