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Renew symbol reservation

renew_symbol_reservation

Renew active symbol reservations before TTL expiry to continue API or function work. Provide workspace ID and reservation ID or symbol, optional agent name and new TTL.

Instructions

Purpose: Extend active symbol reservations while an agent is still editing. When to use: call before TTL expiry for ongoing API or function work. Inputs: workspace_id plus reservation_id or symbol, optional agent_name, and TTL. Side effects: updates reservation expiry and audit rows. Output: count of renewed symbol reservations. Failure modes: returns zero when no matching active reservation exists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoOptional symbol name or qualified identifier to renew.
agent_nameNoOptional agent name used to scope renewal.
ttl_minutesNoNew reservation lifetime in minutes.
workspace_idYesWorkspace UUID containing the symbol reservation.
reservation_idNoOptional symbol reservation UUID to renew.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

No annotations are provided, so the description carries full burden. It discloses side effects ('updates reservation expiry and audit rows') and failure modes ('returns zero when no matching active reservation exists'), which is comprehensive.

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?

The description is structured with clear headings (Purpose, When to use, Inputs, Side effects, Output, Failure modes). Every sentence serves a purpose, and there is no redundancy.

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?

With 5 parameters and no annotations, the description covers purpose, usage, inputs, side effects, output, and failure modes. The output schema exists but is not needed as the description states the output is a count.

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?

Schema description coverage is 100%, so baseline is 3. The description adds value by grouping inputs ('workspace_id plus reservation_id or symbol, optional agent_name, and TTL'), clarifying the relationship between parameters beyond the schema.

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 clearly states the verb 'extend' and the resource 'active symbol reservations', and includes the context 'while an agent is still editing'. This distinguishes it from siblings like release_symbol_reservation or reserve_symbols.

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?

It explicitly says 'call before TTL expiry for ongoing API or function work', providing clear context. It does not explicitly mention when not to use or compare with alternatives, but the guidance is sufficient for typical scenarios.

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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