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Request Reschedule

request_reschedule

Propose a new time window for a task. Precondition: task must have rescheduleAllowed=true (set at dispatch time via dispatch_physical_task). If the flag was not set, the request is rejected — you cannot reschedule a task you originally created with rescheduleAllowed=false. Mechanism: creates a Pending reschedule entry. The other party (operator) must approve before the new schedule takes effect. Until then the original schedule remains in force. Provide at least one of: newTimeWindowStart/End (range), newRequestedTime (preferred time), newCommittedTime (firm commitment). All times in yyyyMMddHHmmss format. Effect: does NOT immediately change the task — only opens a request. Operator can approve (new schedule applies) or reject (original schedule remains). Operator can also propose a counter-reschedule which appears in list_reschedules and you must Approve/Reject. Requires authentication. Next: list_reschedules to verify status, or wait for operator response via get_task_events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyYesYour API key (m2m_...)
reasonNoReason for rescheduling
taskIdYesTask ID to reschedule
newCommittedTimeNoOptional new committed time (yyyyMMddHHmmss)
newRequestedTimeNoOptional new requested time (yyyyMMddHHmmss)
newTimeWindowEndNoOptional new time window end (yyyyMMddHHmmss)
newTimeWindowStartNoOptional new time window start (yyyyMMddHHmmss)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

The description discloses rich behavioral details beyond the minimal annotations: it creates a Pending reschedule entry, does NOT immediately change the task, requires operator approval, and explains counter-reschedule flow. This is exactly the context an agent needs to understand side effects and async behavior.

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 description is long but every sentence adds necessary information about preconditions, mechanism, parameters, or next steps. It is well-structured and front-loaded with the core purpose, though slightly dense; a modest reduction in wording could improve readability without loss of detail.

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

Completeness5/5

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

Given the tool's complexity (7 parameters, async approval flow, no output schema), the description is remarkably complete. It covers preconditions, required input combinations, effect on the original schedule, operator actions, and suggested follow-up tools, leaving little ambiguity about how and when to use it.

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

Parameters4/5

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

Although schema coverage is 100%, the description adds crucial semantic constraints: 'Provide at least one of: newTimeWindowStart/End (range), newRequestedTime (preferred time), newCommittedTime (firm commitment)' and explains the yyyyMMddHHmmss format. This goes beyond the bare schema descriptions by grouping related parameters and clarifying requirements.

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 opens with 'Propose a new time window for a task', a specific verb+resource that clearly states the function. It also distinguishes from sibling tools like approve_reschedule, reject_reschedule, and list_reschedules by emphasizing that it only creates a pending request.

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?

The description provides explicit preconditions (rescheduleAllowed=true) and clearly states when not to use the tool. It also gives alternative/next steps: 'Next: list_reschedules to verify status, or wait for operator response via get_task_events', which helps the agent decide between this and related actions.

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

A3.9/5.0
Disambiguation3/5

Most tools have clearly distinct purposes, but there are overlapping pairs like fund_wallet and checkout_wallet_deposit (both create checkout URLs for wallet top-up) and cancel_physical_task vs cancel_task_with_settlement. Detailed descriptions and cross-references help, but the sheer number of similar actions creates misselection risk.

Naming Consistency4/5

Tool names follow a consistent verb_noun snake_case pattern (e.g., get_*, list_*, approve_*). Minor deviations include inconsistent use of 'task' vs 'physical_task' in names and the awkward 'checkout_wallet_deposit', but overall the pattern is predictable.

Tool Count2/5

54 tools is excessive for any server, even a complex platform. While each tool has a role, many are redundant or could be consolidated (e.g., wallet funding tools, multiple approval/cancel variations), making the set feel bloated and hard to navigate.

Completeness4/5

The tool set covers the full task lifecycle, escrow/direct settlement flows, wallet management, webhooks, support, and administrative functions. The only notable gap is the inability to update task details beyond location (description, deadline, etc.) after dispatch, but core workflows are well-covered.