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update_my_profile

Update the current user's profile. Can set name, title, phone, linkedin, location, zone of genius, or quiet hours (the do-not-disturb window for agent push alerts).

[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
phoneNoPhone number
titleNoJob title (e.g., CEO, CTO, Marketing Director)
locationNoCity, State or Location
quiet_tzNoIANA timezone for the quiet window, e.g. "America/Los_Angeles". Use the user's own timezone.
companyIdNoFreedomOS company id to act within (you must be a member). Required for company-scoped tools.
last_nameNoUser's last name
quiet_endNoQuiet window end, local wall-clock 24h "HH:MM" (e.g. "07:00"). May cross midnight (start after end).
first_nameNoUser's first name
founder_whyNoFounder's motivation and purpose
quiet_startNoQuiet window start, local wall-clock 24h "HH:MM" (e.g. "22:00"). Set together with quiet_end and quiet_tz.
custom_titleNoCustom display title
linkedin_urlNoLinkedIn profile URL
holdco_visionNoVision for holding company (executives)
zone_of_geniusNoWhat the user is uniquely great at
future_self_noteNoNote to future self
profile_image_urlNoURL to profile image
experience_summaryNoBrief summary of professional experience
quiet_hours_enabledNoTurn the do-not-disturb / quiet-hours window on or off. When on, agent push alerts are held during the window and delivered as one summary at wake.
outbound_routes_to_meNoThe operator's OWN no-manual-outbound preference (S5). true = "I personally do outbound" → the founder-outbound Playbook filter is OFF for me; false = "do NOT route founder manual outbound to me" → the filter stays ON. Only the operator can set this for themselves; it is never set on behalf of another user.

TDQS

A3.7/5.0
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 discloses two behavioral traits: the write-tier approval requirement and the meaning of quiet hours. However, it does not state whether updates are partial (only provided fields) or full replacement, nor does it note that some fields (e.g., holdco_vision) are role-specific. These gaps are not covered by 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?

The description is concise (two sentences plus a bracketed approval note) and front-loaded with the core action. It lists fields succinctly and adds a critical approval note without extraneous words. Every sentence serves a purpose.

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?

The tool has 19 optional parameters and no output schema, so the description must provide a coherent overview. It gives a high-level summary and the approval constraint, but it omits important behavior like partial update semantics and role-specific fields (which are only in schema descriptions). For a write tool of this complexity, the description is adequate but not fully complete.

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 the baseline is 3. The description does not add significant meaning beyond the schema; it merely groups some parameters under 'name, title, phone, linkedin, location, zone of genius, or quiet hours.' It does not clarify the relationships between fields like first_name, last_name, and custom_title, but the schema already provides detailed descriptions for each parameter.

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 states a specific verb ('Update') and a clear resource ('the current user's profile'), and lists several fields it can set. This distinguishes it from sibling tools like update_agent or update_agent_avatar, which target other entities. The scope is unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for the current user's own profile ('current user') but does not explicitly contrast it with alternatives (e.g., update_agent for other users) or provide exclusions. It does mention a write-tier approval prerequisite, which is usage context, but no guidance on when to prefer this over similar update tools.

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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