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OwlStat: Instagram & TikTok Analytics

manage_alerts

Change the user's alerts: tune or switch off a rule (followers drop, engagement drop, no new posts), set how often the alert email comes (every day, every Monday, or never), or hide an account from alerts and show it again. Use this when the user asks to change, mute, or stop alerts, e.g. "only email me on Mondays", "warn me at a 5% follower drop", "stop alerting me about @x". Call get_alerts first if you need the current settings.

Input Schema

NameRequiredDescriptionDefault
actionYesWhat to change
metricNoset_rule: which rule
enabledNoset_rule: switch the rule on or off
usernameNohide_account / show_account: the account (without @)
frequencyNoset_email_frequency: daily, weekly (Monday) or never
thresholdNoset_rule: percent drop for followers (1-50) and engagement (10-90), days without a post for posts (3-60)
window_daysNoset_rule: period the drop is measured over, followers and engagement only

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds meaningful context beyond that: hide_account is reversible via show_account, and the current state should be read via get_alerts before mutating. It does not say what the call returns or whether rule changes take effect immediately, which keeps it below a 5.

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?

Front-loaded with the capability list, then usage triggers, then the get_alerts prerequisite. The quoted examples are compact and each one disambiguates a different action, so every sentence earns its place.

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?

With 7 parameters (1 required), full schema coverage, no output schema and clear annotations, the description covers action selection and the read-before-write pattern. It leaves unstated what a successful mutation returns and any limits on which accounts can be hidden, minor gaps for a settings tool.

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% and each parameter is already tagged with its owning action (e.g. "set_rule: which rule"), so the schema carries the semantics. The description's prose maps user intents to actions but adds no constraint detail beyond the schema, which is the baseline-3 case.

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?

States a specific verb and resource ("Change the user's alerts") and then enumerates the three concrete capability groups: rule tuning/disable, email frequency, and account hide/show. The sibling get_alerts is named and its read-only role is made distinct from this mutation tool.

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?

Explicitly names the trigger conditions with user-utterance examples ("only email me on Mondays", "warn me at a 5% follower drop", "stop alerting me about @x") and adds a prerequisite routing rule: "Call get_alerts first if you need the current settings." No inference required.

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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