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list_resources

Read-only

List all available resources and resource templates.

Returns JSON with resource metadata. Static resources have a 'uri' field, while templates have a 'uri_template' field with placeholders like {name}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the readOnlyHint annotation by explaining that the return JSON distinguishes static resources ('uri' field) from templates ('uri_template' field with placeholders). This helps the agent understand the output structure without contradicting the annotation.

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 two sentences, front-loaded with the core action and a concise structural detail about the return format. Every word earns its place, with no redundancy.

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 zero-parameter listing tool with an output schema and readOnlyHint annotation, the description covers purpose and return structure sufficiently. It explains the resource/template distinction, which is the key contextual information an agent needs.

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 schema coverage is effectively 100%. The description correctly omits parameter details, and the baseline of 4 applies because there is nothing to add beyond the schema.

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?

The description uses the specific verb 'List' and identifies the resource as 'all available resources and resource templates,' clearly distinguishing it from sibling tools like read_resource. It leaves no ambiguity about what the tool does.

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?

The description implies usage for discovering available resources but does not explicitly state when to use this tool versus alternatives such as read_resource. No exclusion or alternative guidance is provided, so usage context is only implied.

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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Glama MCP Gateway

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TDQS

A4.4/5.0
Disambiguation5/5

Each legal tool targets a distinct operation: finding citing decisions, retrieving context, legislative history, stats, TOC, law lists, and exact lookups. The batch lookup is clearly a convenience wrapper for the single lookup, and the generic resource tools are unmistakably separate from the legal research functions.

Naming Consistency5/5

All legal tools follow a consistent 'legal_' prefix plus verb_noun pattern (e.g., legal_find_citing_decisions, legal_get_context, legal_list_laws). The two generic MCP tools also follow verb_noun (list_resources, read_resource), maintaining overall consistency.

Tool Count5/5

With 11 tools, the server is well-scoped for a comprehensive legal research domain. Each tool provides a distinct capability, and none feels redundant or excessive. The count is within the ideal 3-15 range.

Completeness4/5

The tool set covers the core legal research lifecycle: discovery (list_laws, search), lookup (lookup, lookup_batch), citation analysis (find_citing_decisions), structural navigation (get_toc, get_context), and legislative intent (get_materials). Minor gaps exist, such as the lack of coverage for certain state court decisions and non-German legislative materials, but these are explicitly documented and workarounds are provided.

Resources