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Delete persona

delete_persona
DestructiveIdempotent

Reset the playbook's singleton persona to the default Assistant name and system prompt. Despite the delete_* name, this is not a hard delete: each playbook always keeps exactly one logical persona, so the fields are overwritten rather than removed. persona_id must equal playbook_id because the persona is stored on the playbook row. Custom name, system prompt, and metadata are permanently replaced and cannot be undone. Requires personas:write or full permission. Use update_persona to change fields without resetting, create_persona to set a new identity, and delete_playbook only when the entire playbook should be removed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persona_idYesMust equal playbook_id; the persona is a singleton stored on the playbook
playbook_idYesUUID of the playbook

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, but the description goes further: it clarifies that despite the 'delete' name, this is not a hard delete, fields are overwritten rather than removed, custom name/system prompt/metadata are permanently replaced and cannot be undone, and the persona_id must equal playbook_id. It also cites the required permission (personas:write or full). This is exemplary behavioral disclosure beyond the structured annotations.

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?

Six sentences, each packed with essential information: purpose, semantic nuance, ID constraint, irreversible effects, permission requirement, and alternatives. There is no fluff or repetition; every sentence earns its place. The structure flows logically from what → why → constraints → consequences → guidance.

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 destructive mutation with two parameters and no output schema, the description covers all needed aspects: behavior, side effects, idempotency, required permissions, and relationship to sibling tools. It fully prepares the agent to invoke the tool correctly and understand the consequences.

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 coverage is 100% and already includes the constraint that persona_id must equal playbook_id. The description restates this and explains the reason (persona is stored on the playbook row), but adds no new syntax or format details beyond the schema. It doesn't compensate with additional field-level semantics, so baseline 3 is appropriate.

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 specifies the exact action: resetting the playbook's singleton persona to the default Assistant name and system prompt. It clearly distinguishes this from delete_playbook, update_persona, and create_persona by explaining it is an overwrite, not a hard delete. The verb 'reset' plus the resource 'playbook's singleton persona' is specific and unambiguous.

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?

Provides explicit usage guidance: use this tool to reset to default, use update_persona to change fields without resetting, use create_persona to set a new identity, and use delete_playbook only when removing the entire playbook. This makes when-to-use versus alternatives crystal clear.

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

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct entity and action (e.g., delete_memory vs delete_skill vs delete_run), and even similar operations like read_memory vs search_memory vs get_memory_context have clearly differentiated purposes. The descriptions are detailed and explicitly cross-reference other tools to avoid confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (create_*, list_*, update_*, delete_*, read_*, etc.), with plurals used uniformly for list operations (list_playbooks, list_runs, list_secrets). No mixed conventions or ambiguous verbs; the naming is highly predictable and systematic.

Tool Count4/5

With 48 tools, the server covers a broad but coherent set of domains (playbooks, personas, skills, memory, canvas, runs, secrets, MCP servers, and discovery). While this exceeds the typical 3-15 range, each tool serves a distinct and necessary function within the comprehensive playbook management scope, so the count feels justified rather than bloated.

Completeness5/5

The tool surface provides complete CRUD and lifecycle coverage for every entity type: playbooks, personas, skills (including versioning and rollback), memory (including hierarchical tasks and tiering), canvas (with locking and patching), runs, secrets (including rotation and usage), and MCP servers. Additionally, find_tools covers discovery for federated tools, leaving no apparent dead ends.