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update_playbook

Update an existing Playbook (growth_tactics). Use when changing title, how-to / instructions, status, category, assignee, or OKR binding (objective_id / linked_kr_id). Identify by title or ID.

Routing: Edit a saved Playbook → use this

[write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoNew title
statusNoNew status
categoryNoNew category
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
tactic_idNoID of the Playbook to update (optional if using tactic_title)
assigned_toNoUser ID or "me"/"current_user" to assign to
descriptionNoNew description
linked_kr_idNoKey-result id the Playbook most advances (validated against the company OKRs; takes precedence over objective_id, and its parent objective is derived). Unresolvable → binding cleared to null. Omit to leave the existing binding untouched.
objective_idNoOKR objective UUID to re-bind this Playbook to (validated against this company); its most off-track key result is chosen. Unresolvable → binding cleared to null. Omit to leave the existing binding untouched.
tactic_titleNoTitle of the Playbook to update (use this or tactic_id)

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description must disclose behavioral traits. It does mention the write-tier status and approval requirement ('first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time'), which is valuable. However, it does not clarify whether updates are partial or full replacements, what happens if required fields are omitted, or the effect on unspecified fields. The schema describes 'Omit to leave the existing binding untouched' but this is not repeated in the description.

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

Conciseness4/5

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

The description is appropriately sized and front-loaded with the core purpose. It contains two short paragraphs plus a routing note and approval note. It is concise but not excessively terse. The routing line 'Edit a saved Playbook → use this' is slightly redundant given the first sentence, but overall it is well-organized and easy to scan.

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

Completeness3/5

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

For a tool with 10 parameters, no output schema, and no annotations, the description covers purpose, usage, and approval but leaves out some operational details. It does not mention that updates are partial (only changed fields are updated), the effect of omitting fields (except via schema), or any error/validation outcomes. It also doesn't note that companyId is required (though that's in the schema). Given the complexity, a bit more context on update semantics would improve completeness.

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 each parameter has a description. The tool description adds some context by grouping parameters ('changing title, how-to / instructions, status, category, assignee, or OKR binding') and clarifying identification via title or ID. However, it does not add new semantic meaning beyond the schema's own descriptions, such as validation rules or precedence (which are in the schema). The description adds marginal value, so it meets baseline but does not exceed it.

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 'update' with the resource 'Playbook' and lists the specific aspects that can be changed (title, status, category, assignee, OKR binding). It explicitly notes this is for existing playbooks, distinguishing it from create/archive/run tools. The phrase 'Identify by title or ID' further defines how to target the resource.

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 gives explicit when-to-use conditions: 'Use when changing title, how-to / instructions, status, category, assignee, or OKR binding.' It also provides a routing hint 'Edit a saved Playbook → use this.' However, it does not explicitly mention alternatives like create_playbook for new playbooks or list_playbooks for viewing, nor state when NOT to use this tool beyond the implicit 'existing' qualifier.

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

A3.6/5.0
Disambiguation4/5

The tool set is heavily disambiguated by detailed routing descriptions, domain prefixes, and lifecycle verbs, so most tools have a clear intended purpose. However, at 297 tools there are still close pairs and overlapping decision surfaces (e.g., approval workflows, 'what should I work on' readers, multiple finance/ads readers) that require careful description reading to avoid misselection.

Naming Consistency4/5

Naming is predominantly consistent snake_case verb_noun with strong domain prefixes like shopify_, x_, posthog_, and list_/create_/update_ patterns. Minor inconsistencies exist, such as several collection-returning tools using get_ (get_team_members, get_icps, get_okrs) instead of list_, and some generate_ vs create_ vs draft_ verbs, but the pattern is still predictable overall.

Tool Count1/5

297 tools is an extreme outlier and far beyond a usable MCP tool surface. Even a large suite has no justification for this count in one server; the agent would struggle to select among hundreds of similarly descriptive tools, and the natural 3-15 tool range is exceeded by nearly 20x.

Completeness4/5

The individual domains represented — OKRs, CRM/leads, Shopify, content pipelines, ads, PostHog, team hiring, knowledge, finance, and session management — are covered remarkably well with full lifecycle patterns. Minor gaps exist, such as no full deal CRUD, no delete for several Google/Shopify artifacts, and some analytical surfaces being read-heavy, but most workflows can be completed without dead ends.

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