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Delivery: bulk update [sandbox]

delivery_change_parcels

Queue bulk parcel property change requests for Avito delivery. Supports change receiver, extend storage, prohibit receive/acceptance, change terminal on confirmed parcels.

Instructions

[SANDBOX] Queues a BATCH of parcel-property change requests on Avito's initiative (changeReceiver / extendParcelStorage / prohibitParcelReceive / prohibitParcelAcceptance / changeReceiverTerminalOnConfirmed, per the type enum). Use it for bulk changes; for a single parcel use delivery_v1_change_parcel. The call only QUEUES the requests — the delivery service reports each outcome back via delivery_change_parcel_result. Implemented on the delivery-service side, for delivery-service PARTNERS only (a regular seller account gets 403/404).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesRequest type.
dryRunNov0.7.0: if true — returns a preview of the HTTP request without calling the Avito API. Safe for inspecting exactly what would be done. Default: the value of AVITO_MCP_DRY_RUN_DEFAULT (usually false).
applicationsYesArray of parcel change requests (one per parcel).
idempotencyKeyNov0.7.0: optional key for duplicate protection. A repeat call with the same key within AVITO_MCP_IDEMPOTENCY_TTL_SEC returns the cached result. The same key with different args returns a conflict error. Keys are stored as bounded SHA-256 fingerprints.
Behavior4/5

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

Annotations indicate non-readonly, non-destructive, non-idempotent. Description adds that it only queues requests and outcomes are reported via delivery_change_parcel_result, providing async behavior beyond annotations.

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?

Single paragraph, front-loaded with key action and scope. Every sentence is informative without 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?

Given no output schema, description explains async nature and where to get results. For a batch tool with comprehensive annotations and schema, it's fully complete.

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 coverage is 100% with parameter descriptions. Description adds context by listing the enum values and indicating the type parameter's role. It doesn't repeat schema but adds value.

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 it queues a batch of parcel-property change requests for Avito's initiative, listing specific types. It distinguishes from sibling tool delivery_v1_change_parcel.

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 says 'Use it for bulk changes; for a single parcel use delivery_v1_change_parcel.' Also states it's for delivery-service PARTNERS only, providing clear when-not-to-use.

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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