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find_keywords

Search for Robot Framework keywords by name, pattern, or intent to find the right command for test automation tasks.

Instructions

Discover Robot Framework keywords using multiple strategies.

WHEN TO USE THIS TOOL:

  • ALWAYS before calling execute_step with an unfamiliar keyword

  • When you're unsure of exact keyword name or spelling

  • To discover what keywords are available in imported libraries

  • When error says "No keyword with name 'X' found"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional maximum number of results to return.
queryYesSearch text or intent description. Examples: "click a button", "validate json", "get*request"
contextNoScenario context (e.g., "web", "mobile", "api") used by semantic discovery.web
strategyNoDiscovery approach: - "semantic": Hybrid keyword search combining name/doc pattern matching, tag/action-class classification, and (when installed) sentence-transformers embedding similarity. For best semantic ranking, install the optional extra: ``uv add robotmcp[semantic]``. Without the extra, falls back to pattern + tag + difflib SequenceMatcher ranking; the strategy is still useful but ranking quality is reduced. - "pattern": Glob/regex matching (best when you know partial name) - "catalog": List all available keywords. This is a LITERAL substring filter on keyword/library names — a multi-word natural-language query will return 0; use library_name= to list a library (e.g. "PlatynUI"/"PlatynUI.BareMetal"), or strategy="semantic" for intent matching. - "session": List keywords from session's loaded librariessemantic
session_idNoRequired for strategy="session" to search the live RF namespace.
library_nameNoOptional library filter applied to ALL strategies. When set, restricts results to the named library and its compatible siblings (e.g., library_name="Browser" excludes SeleniumLibrary but keeps BuiltIn, Collections, String). Takes precedence over the session's explicit_library_preference when both are present. Catalog strategy additionally scopes the underlying lookup to this library.
current_stateNoOptional state payload to improve semantic matching.
strict_libraryNoOBS-33 — when True AND a library preference is set (via ``library_name`` or session ``explicit_library_preference``), exclude EVERY library that isn't the preferred one. Default behaviour (False) preserves "compatible siblings" — BuiltIn / Collections / String / DateTime etc. remain visible alongside the preferred library. Use strict mode to scope discovery tightly to a single library (e.g., pattern ``"Get*"`` + ``library_name="Browser"`` + ``strict_library=True`` → Browser keywords only, no BuiltIn helpers).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

No annotations are provided, but the description fully explains the tool's behavior including strategy fallbacks, library filtering, and strict mode. This is comprehensive for a non-destructive discovery tool.

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 well-structured with a clear heading, bullet points for when-to-use, and concise explanations. Every sentence adds value without 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?

Given 8 parameters, output schema existence, and the complexity of strategies, the description covers all necessary aspects. It explains parameter interplay and use cases completely.

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?

Schema description coverage is 100%, so baseline is 3. The description adds value by explaining the strategy parameter in detail and how library_name interacts with strategies, going beyond the schema's parameter descriptions.

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 tool discovers Robot Framework keywords using multiple strategies. It distinguishes from siblings like execute_step (which runs keywords) by explicitly stating when to use this tool before executing an unfamiliar keyword.

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

Usage Guidelines5/5

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

The 'WHEN TO USE THIS TOOL' section provides explicit guidance: always before calling execute_step with an unfamiliar keyword, when unsure of exact name, to discover available keywords, and when an error indicates a keyword is not found.

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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