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interests_save_targets

Save targeting_search picks as an audience pack

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
notesNo
targetsYes
connection_contextNo
interest_pack_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
retryableNo
support_refNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedOutput schema / else / then / properties / category
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / expected
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / else / then / properties / failure_kind
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / responsibility_hint
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / route
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / user_visible
      Added value: +{
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  3. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare this is a non-destructive, closed-world write, so the safety profile is covered. The description adds only that the picks become a named 'audience pack', without saying whether an existing pack is overwritten, whether connection_context is required, or where the pack lives. Marginal added context on top of 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?

A single front-loaded sentence with no filler, and the source/action are stated first. It is efficient, though arguably too terse for a 5-parameter write tool with nested target objects.

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?

With 5 parameters at 0% schema coverage, a nested targets array, a patterned connection_context, and an output schema, the one-line description leaves key operational questions unanswered (pack lifecycle, required context, how targets are validated). Annotations cover safety but not the write semantics.

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 description coverage is 0% across 5 parameters, so the description carries the full burden and largely fails it. It loosely maps targets to 'picks' and interest_pack_name to 'audience pack', but says nothing about tags, notes, or the patterned connection_context, nor the targeting_type enum on each target object.

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?

The description names a specific verb (save) and resource (targeting_search picks as an audience pack), and cites the source tool, so an agent can tell it apart from the read-only interests_list/interests_get siblings. It does not, however, distinguish itself from the closely named interests_save_fetched_pack, which is a near-twin.

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

Usage Guidelines3/5

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

Referencing targeting_search as the source implies the workflow (search, pick, then save), which is useful. But there is no explicit when-to-use, when-not, or mention of the competing siblings interests_save_fetched_pack and interests_use_targets, leaving routing to inference.

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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