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Generate Timecard

generate_timecard

Generates a user timecard using GET /timecards/generate. Limitations: write operation; can save generated days when save_days=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
user_idNo
base_urlNoOptional TrackingTime API base URL override, for example https://api.trackingtime.co/api/v4.
api_tokenNoAlias of app_password
save_daysNo
account_idNoTrackingTime workspace/account ID. Required when the user belongs to multiple workspaces.
access_tokenNoOAuth 2.0 bearer access token
app_passwordNoTrackingTime app password

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, so the description's 'write operation' note is largely redundant. The genuinely additive part is that generated days can be persisted when save_days=true, which clarifies side effects beyond the annotations.

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?

Two short sentences, with the core action front-loaded ahead of the caveats. No padding or repetition.

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?

For a 9-parameter mutation tool with no output schema, the description omits what the call returns, the required time-range/auth inputs, and how the result relates to saving. The save_days note is the only behavioral completeness it provides.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage sits at 56% with 9 parameters and none required. The description explains only save_days; from/to, user_id, account_id requirements, and auth parameter selection are left to the schema, which is itself incomplete.

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

Purpose4/5

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

States a specific verb+resource ('Generates a user timecard') and even names the underlying endpoint, so an agent can distinguish it from read siblings like get_timecard and list_timecards. It stops short of explicitly naming those alternatives.

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

Usage Guidelines2/5

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

No statement of when to use this tool versus save_timecard_day, get_timecard, or export_timecards. The only usage-adjacent content is the save_days note, which is a parameter behavior rather than selection guidance.

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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