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list_bindings

Enumerate public exports of a chosen FLOX binding surface (C-API, Python, Node, Codon, QuickJS) with optional case-insensitive substring filter. Discover available symbols for your language before picking one.

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
limitNoMax entries to return. Default 50.
filterNoOptional substring filter on symbol name.
languageYesBinding surface. One of: capi, python, cpp, capi, python, node, codon, quickjs.

Schema Changelog

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

  1. Addedv0.6.9
  2. Removedv0.6.8
  3. First observedv0.6.3

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It adds the case-insensitive filter behavior, which is useful, but does not explicitly state read-only nature, auth needs, or error behavior. The 'enumerate' verb implies safety, but it is not explicit.

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 concise sentences that front-load the purpose, then provide usage guidance and a behavioral note. No 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 enumerator with no output schema and no annotations, the description covers purpose, usage, and a key filter behavior. It is slightly incomplete due to the missing differentiation from list_capi_functions and the cpp surface omission.

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 the case-insensitive filter detail beyond the schema, but it also omits the 'cpp' surface listed in the schema's language enum, creating a potential inconsistency.

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 states the tool enumerates public exports of a binding surface, with a specific verb and resource. It lists the surfaces but does not explicitly differentiate from the sibling tool list_capi_functions, which overlaps on the C-API surface.

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?

Explicit use cases are given ('what does the {Python|Node|Codon} binding expose?', 'browse a binding before picking a symbol'). However, it does not mention when not to use it or alternative tools like list_capi_functions, so it lacks exclusions.

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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