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update_social_media_draft

Update an existing social media draft by modifying its message, scheduled date/time, timezone, media, or tags to ensure accuracy before publishing.

Instructions

Update a draft social media post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoNew scheduled date (e.g. 2026-04-15)
tagsNoReplace the draft's tag (label) IDs with this list. Use `listSocialMediaTags` to fetch existing IDs and `createSocialMediaTag` to add new ones.
timeNoNew scheduled time (e.g. 14:30)
mediaNoUpdated media for the draft. Each entry is either a Simplified asset UUID or a fully qualified URL — see `CreatePostRequest.media` for resolution rules.
messageNoNew draft message content
draft_idYesID of the draft to update
timezoneNoTimezone for the scheduled date/time (e.g. Europe/Warsaw)
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It does not mention side effects, permission requirements, or behavior on partial updates (e.g., whether omitted fields are left unchanged or reset). This lack of detail is a significant gap for a mutation tool.

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 a single concise sentence that focuses on the core function. No unnecessary words or repetition. However, it sacrifices completeness for brevity.

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?

Given the lack of annotations and output schema, the description is too minimal. It does not explain return values, error conditions, or how the update behaves (e.g., idempotency, partial vs. full replacement). The 7-parameter complexity is not addressed beyond the schema.

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

Parameters3/5

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

Schema description coverage is 100%, so each parameter already has a clear description in the schema. The tool description adds no additional meaning beyond what the schema provides. Baseline score of 3 is appropriate.

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 clearly states the verb 'Update' and the resource 'a draft social media post', making the tool's purpose immediately understandable. It distinguishes from sibling tools like 'create_social_media_post' and 'delete_social_media_draft' by focusing on modification.

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

Usage Guidelines2/5

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

No usage context is provided: no indication of when to use this tool versus alternatives (e.g., 'update_social_media_post' for published posts), no prerequisites (e.g., draft must already exist), and no scenarios where it should be avoided. The description is purely declarative.

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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