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list_plugins

List every bundled tabnas plugin descriptor (tabnas.plugin.json of each fleet repo), sorted by name. Returns {plugins:[...]}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the operation is a list (implying read-only), specifies the return format '{plugins:[...]}', and mentions sorted order. This gives the agent a clear expectation of the tool's behavior, though it does not explicitly address side effects or error conditions.

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, information-dense sentence that front-loads the core action and includes necessary detail (source, sorting, return shape) without any fluff. Every word earns its place.

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 tool with no output schema, the description is complete: it tells what is listed, where it comes from, the ordering, and the return shape. No further context is needed for the agent to use it correctly.

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 and an empty schema, which per instructions yields a baseline of 4. The description adds no parameter details because none exist, and the schema fully covers the parameter space.

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 a specific verb ('List') and resource ('bundled tabnas plugin descriptor'), defines the source ('tabnas.plugin.json of each fleet repo'), and notes sorting by name. This clearly distinguishes it from sibling tools like describe_plugin, which handles individual plugin details.

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 enumerating all bundled plugins, but it does not explicitly state when to use this tool over alternatives like describe_plugin. There is no explicit exclusions or when-not-to-use guidance, leaving the context to be inferred from the tool name and description.

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

A4.2/5.0
Disambiguation4/5

Each tool has a clearly distinct task: parse returns the tree, explain_parse_error returns diagnostics with registry entries, and the grammar-focused tools target validation, fixture testing, and compatibility. The only mild overlap is between parse and explain_parse_error, but their descriptions and return contracts make the boundary clear.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern: validate_grammar, test_grammar, compare_grammars, list_plugins, describe_plugin, explain_parse_error. parse is a bare verb but fits the imperative style and does not conflict with any other name.

Tool Count5/5

Seven tools cover parsing, grammar validation, fixture testing, grammar comparison, error explanation, and plugin introspection without redundancy. This is a well-scoped set for a developer-facing grammar toolchain.

Completeness5/5

The surface covers the core workflows: parse input, validate grammars, test against fixtures, compare grammars, explain parse errors, and inspect plugin descriptors. There are no obvious dead ends, and grammar mutation or plugin installation is outside the apparent read-only/analysis scope.