Skip to main content
Glama

posthog_delete_vision_scanner

Delete a Replay Vision scanner and its observations tab (PostHog $recording_observed events stay in the event stream) for the operator or analytics agent. Use when retiring a scanner. Only works if PostHog is connected.

[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
idYesScanner UUID
companyIdYesFreedomOS company id to act within (you must be a member). Required for company-scoped tools.

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full disclosure burden, and it delivers: it states what is destroyed (scanner + observations tab), what is preserved ($recording_observed events), the connectivity requirement, and the write-tier approval model. For a destructive operation, this is exemplary transparency — an agent knows exactly what side effects to expect.

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 core content is two tight sentences with the action and scope front-loaded and the caveat following naturally. The bracketed write-tier approval paragraph adds useful context but is a slight distraction from the core purpose and might fit better in annotations; still, nothing is wasteful.

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

Completeness4/5

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

For a simple 2-parameter delete tool with full schema coverage and no output schema, the description covers purpose, preconditions, scope of destruction, and authorization behavior. The only minor gap is that it doesn't describe the success response/return value, but for a delete operation an agent can reasonably infer success from the absence of an error.

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 both parameters (id as 'Scanner UUID' and companyId with its company-scoping note) are already fully documented. The description adds nothing new about the parameters, which is acceptable given the high schema coverage — baseline 3 applies.

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-resource pair ('Delete a Replay Vision scanner') and precisely scopes what is removed (the scanner and its observations tab) versus what persists ($recording_observed events stay in the event stream). This clearly distinguishes it from the create/get/list/update vision scanner siblings without needing to open any schema.

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?

'Use when retiring a scanner' gives an explicit trigger condition, and 'Only works if PostHog is connected' states a useful precondition. It also names the intended audience (operator or analytics agent). It doesn't explicitly address when *not* to use it or suggest alternatives like posthog_update_vision_scanner for a softer disable, but the core guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources