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Retry Failed Platforms

retry_failed_platforms

Retry publishing on platforms that failed. Get platform IDs from list_post_results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPost ID
platformIdsYesFailed platform IDs to retry

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoThe retry outcome for the requested platform IDs as returned by the AdaptlyPost API.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already communicate that this is a mutating operation (readOnlyHint=false) and not destructive (destructiveHint=false). The description adds the 'retry on failed platforms' semantic but does not disclose additional behavioral traits such as partial-failure handling, idempotency, or side effects. With annotations present, this is adequate but not rich.

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?

Two tightly written sentences with no filler. The core action is front-loaded, and the parameter source hint is included without unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with full schema coverage, an output schema, and annotations, the description covers the essential workflow and parameter sourcing. It is slightly light on operation outcomes, but the output schema and annotations compensate, making it sufficiently 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 description coverage is 100%, so the baseline is 3. The description adds extra value by telling the agent that platformIds should come from list_post_results, which is important provenance information beyond the schema's generic 'Failed platform IDs to retry.'

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 states a specific action, 'Retry publishing on platforms that failed,' targeting a clear resource. It differentiates itself from siblings like publish_draft and create_post by emphasizing failed platforms, so an agent can identify when this tool applies.

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?

The description gives clear context: use this tool for platforms that previously failed, and it even tells the agent where to get the required platform IDs ('Get platform IDs from list_post_results'). It does not explicitly list alternatives or when-not-to-use conditions, but the workflow context is strong enough for correct selection.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools are clearly separated by resource and action, but get_post and list_post_results both expose per-platform publishing status/errors, which could cause misselection. create_post and bulk_schedule_posts are closely related, though the descriptions make the single-vs-bulk distinction clear.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: create_post, list_posts, upload_media, retry_failed_platforms, etc. Even multi-word actions like bulk_schedule_posts preserve the same style, making the naming predictable and easy to navigate.

Tool Count5/5

With 12 tools, the set is well-scoped for a social media scheduling server. It covers post lifecycle management, bulk operations, media handling, account discovery, and retries without feeling bloated or sparse.

Completeness5/5

The tool surface covers the full publishing workflow: account listing, media upload, post creation, scheduling, listing, retrieval, updating, deletion, draft publishing, retry, and per-platform result inspection. Limitations like not updating published posts reflect expected platform constraints rather than missing server functionality.

Resources