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elevenlabs_remove_rules

Remove Rules From The Pronunciation Dictionary. Remove rules from the pronunciation dictionary

Bulk support: accepts pronunciation_dictionary_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
rule_stringsYes
pronunciation_dictionary_idYes
pronunciation_dictionary_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already signal non-read-only, non-idempotent, and non-destructive behavior. The description adds slight detail about batched execution, but does not describe side effects, irreversibility, or other behavioral caveats. The description is consistent with the annotations, so no contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are redundant: 'Remove Rules From The Pronunciation Dictionary' is immediately repeated as 'Remove rules from the pronunciation dictionary'. This is unnecessary repetition rather than concise writing, and the useful bulk support note is appended as a separate sentence without structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters and no output schema, the description is too sparse. It omits return behavior, parameter details, and side effects. The bulk support note helps, but overall the agent is left without enough context to confidently construct correct calls or handle edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameter meaning. It only clarifies pronunciation_dictionary_ids for batch support; it does not explain what rule_strings should contain, how pronunciation_dictionary_id is used, or the role of account. This leaves critical parameters under-specified.

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 'Remove Rules From The Pronunciation Dictionary', which is a specific verb+resource pair. The mention of bulk support further clarifies the intent and distinguishes it from sibling tools like elevenlabs_add_rules or elevenlabs_set_rules.

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?

The description provides clear context that this tool removes pronunciation rules and highlights when bulk execution is possible via 'accepts pronunciation_dictionary_ids for batched execution'. It does not explicitly name alternatives or exclusions, but the use case is well 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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