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octowatch-mcp

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by extralabs

Chronometry

get_chrono
Read-only

Retrieve a filtered chronometry timeline of user activity from OctoWatch DLP Cloud. Specify period, date range, user, or group to analyze productivity and behavior.

Instructions

Chronometry timeline (POST /api/Chrono/Overall2).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax rows to return (1–500).
offsetNoPagination offset (0-based).
periodNoRelative period: today|yesterday|last_7_days|last_30_days (wins over date_from/date_to when set).
compactNo
date_toNoEnd datetime; date-only covers until 23:59:59 that day.
user_idNoUser filter: AliasID as TreeviewUsers NodeType=1.
group_idNoGroup filter: TreeviewUsers NodeType=14 (console group id).
date_fromNoStart datetime YYYY-MM-DD or YYYY-MM-DD HH:MM:SS (full day if date-only).
filter_keyNoOptional text filter passed to the Cloud API FilterKey.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so the read-only safety profile is already covered. The description adds only the HTTP endpoint, which is a minor behavioral detail, but it does not disclose response behavior, pagination semantics, the meaning of the 'compact' option, or any filtering caveats beyond what the schema already states.

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

Conciseness2/5

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

The description is only six words plus an endpoint, which is concise but far too sparse for a tool with nine parameters and a non-obvious domain. It is under-specification rather than effective conciseness; a useful description would need at least a sentence explaining what a chronometry timeline represents.

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

Completeness2/5

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

Despite a rich input schema and an output schema, the description fails to establish what 'chronometry' means in this domain or what kind of timeline is returned. With many similar siblings, the missing contextual anchor makes it difficult for an agent to correctly select and invoke the 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 89%, and the schema documents nearly all parameters with meaningful detail such as period precedence and date-only handling. With high coverage, the baseline is 3, and the description itself contributes no additional parameter meaning. There is no gap large enough to penalize further.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Chronometry timeline' essentially restates the title 'Chronometry' and the name get_chrono, adding only the word 'timeline' and an endpoint. It does not say what the timeline contains, what operation is performed, or how it differs from sibling analytics tools. This is closer to a tautology than a usable purpose statement.

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

Usage Guidelines1/5

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

There is no guidance about when to use this tool versus alternatives like get_activity_detail, get_day_structure, or get_productivity_summary. The description provides no context, no exclusions, and no mention of which scenarios warrant calling get_chrono.

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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