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elaichi__toolbox__set_entries

Replace a toolbox’s entries: a WHOLESALE REPLACE, never a merge (name and description are untouched — those belong to toolbox.update). The array you send becomes the toolbox’s entire entry list, so "add the Slack tool" means reading toolbox.get, resending its existing entries and appending yours; sending only the new entry deletes everything else. Each proxy entry needs connector_slug + tool_name; pin connection_id for multi-connection toolboxes, which must be one the ACTING caller can use — they become its delegator (docs/access-model.md §6). An incoming entry whose (connection_id, tool_name) pair matches a PRE-EXISTING one keeps that row’s original delegator rather than re-stamping the caller, so merely re-ordering entries never silently reassigns whose authority a pin rides on. frozen_params and enabled are optional. Validate names against connection.list_tools first — the set is validated as a whole, so one bad entry rejects the call and nothing changes. Only a STORED id may be updated — dynamic ids from toolbox.list are refused. Returns the updated { toolbox, entries } detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesStored toolbox id (`tbx_…`) from toolbox.list.
entriesYesThe COMPLETE entry list. Whatever you send replaces every existing entry; entries you omit are deleted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Annotations are mostly false and provide little safety context, so the description carries the behavioral burden. It explicitly discloses that omitted entries are deleted, that the replacement is atomic ('one bad entry rejects the call and nothing changes'), and that pre-existing entry delegators are preserved rather than re-stamped.

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 and dense, but it is front-loaded with the most important fact ('WHOLESALE REPLACE, never a merge') and each sentence adds essential operational detail. It could be broken into clearer paragraphs, but there is no wasteful filler.

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?

For a high-complexity mutation tool with no output schema, this description is remarkably complete. It covers the replace semantics, the read-then-resend workflow, validation behavior, delegator authority, edge cases like re-ordering entries, and even states the return value as '{ toolbox, entries } detail'.

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

Parameters5/5

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

Schema description coverage is 100%, but the description adds meaning beyond the schema: it states that entries is the COMPLETE list, that connector_slug + tool_name are required for proxy entries, and that connection_id determines delegator authority. It also explains that frozen_params and enabled are optional and that id must be a stored id.

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 a specific verb and resource: 'Replace a toolbox’s entries' and immediately distinguishes itself from a merge and from toolbox.update. It clearly separates this tool from siblings like toolbox.update and template.set_entries, so an agent knows exactly what resource and operation this is.

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 gives explicit when-to-use guidance: it tells the agent to read toolbox.get and resend existing entries before appending, warns that sending only the new entry deletes everything else, and says to validate names against connection.list_tools. It also notes that only stored ids are accepted and dynamic ids from toolbox.list are refused.

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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