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list_bindings

Enumerate public exports of a FLOX binding surface (C-API, Python, Node, Codon, QuickJS). Use to browse symbols before selection, with optional case-insensitive substring filter.

Instructions

Enumerate the public exports of one FLOX binding surface (C-API / Python / Node / Codon / QuickJS). Use this when the user asks 'what does the {Python|Node|Codon} binding expose?' or when they want to browse a binding before picking a symbol. Substring filter is case-insensitive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYesBinding surface. One of: capi, python, node, codon, quickjs.
filterNoOptional substring filter on symbol name.
limitNoMax entries to return. Default 50.
Behavior3/5

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

With no annotations, the description bears full responsibility. It discloses that the substring filter is case-insensitive, which is a useful behavioral detail beyond the schema. However, it omits other behavioral aspects such as error handling for invalid language values, read-only nature (implied by 'enumerate'), or any rate limits. The description is adequate but not thorough.

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 extremely concise, consisting of two front-loaded sentences. The first sentence precisely states the purpose, and the second adds usage context and a critical behavioral detail. Every word serves a purpose, with 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?

Given that the tool has no output schema, the description does not explain the return format (e.g., list of symbol names with metadata). For a listing tool, this is a minor gap. However, it clearly covers all input parameters and provides usage examples. The presence of sibling list_capi_functions is not directly addressed, but the description implies it covers multiple surfaces, which is sufficient. Overall, good coverage.

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 description coverage is 100%, so baseline is 3. The description adds that the filter is case-insensitive, which is not in the schema. It does not further illuminate the language parameter's possible values beyond what the schema already says. Thus, it provides marginal added value 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 clearly states the verb (enumerate), the resource (public exports of a FLOX binding surface), and the scope (one of five surfaces). It also provides concrete example queries, making the purpose highly specific and distinguishable from siblings like list_capi_functions.

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

Usage Guidelines4/5

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

Explicitly describes when to use the tool via example user queries and the context of browsing a binding before picking a symbol. It indirectly suggests an alternative for C-API (list_capi_functions) but does not provide explicit exclusion criteria or when-not-to-use guidance.

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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