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get_feed_status

Read-only

Get the runtime status of one feed: generation state, progress, last run/submit and any error. Returns {feedId, projectId, feedCode, status, enabled, progressPercent, productsCount, lastRunAt, submitStatus, lastSubmitAt, fileExists, errorMessage}. status is one of new|pending|processing|generated|submited|error|overlimit. Next action per status: generated → verify_feed_attributes then submit_feed; processing/pending → keep polling; error → read errorMessage, fix, export_feed; overlimit → feed exceeds the plan limit. Use get_feed for configuration/mapping and this tool for run progress. feed_id is the id from list_feeds / create_feed. project_id is OPTIONAL (inferred for a single-project customer; project_id_required otherwise — then call list_projects).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
feed_idYes
project_idNo

TDQS

A5/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, and the description adds no contradiction. It enriches the read-only contract by enumerating the returned fields, the full status enum, and the expected next action per status, making clear that this is a safe, repeated polling operation.

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?

Although long, the description is densely informative with no filler. The core purpose and return contract come first, followed by status semantics, action routing, and parameter provenance — each sentence earns its place given the lack of output schema and terse input schema.

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?

With no output schema, no enum definitions, and 0% schema description coverage, the description carries the full burden and succeeds: it lists the return object, defines every status value, explains conditional parameter requirements, and gives status-specific follow-ups. Nothing essential for invoking this tool correctly is missing.

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 0%, so the description must explain the parameters itself. It does: feed_id is defined as 'the id from list_feeds / create_feed', and project_id's optionality is clarified with the single-project vs multi-project inference behavior. This adds real meaning beyond the bare integer schema.

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: 'Get the runtime status of one feed: generation state, progress, last run/submit and any error.' It also explicitly distinguishes itself from get_feed ('Use get_feed for configuration/mapping and this tool for run progress'), so an agent can choose among the large sibling set without guessing.

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?

It gives direct when-to-use guidance by naming get_feed as the alternative for configuration/mapping and this tool for run progress. It also explains the polling behavior ('processing/pending → keep polling'), error recovery ('error → read errorMessage, fix, export_feed'), and the conditional project_id requirement ('then call list_projects'), leaving little room for misuse.

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

Tools are organized around distinct resources (ads, marketplaces, feeds, orders, rules, sources) with clear action verbs, and descriptions explicitly disambiguate near-pairs like get_feed_status vs ad_status or set_feed_filter vs set_feed_attribute_filter. A few similarly named status/action pairs (e.g. ad_status vs get_ad, run_ad_item_action vs run_ad_operation) require careful reading, but overall the purposes are separable.

Naming Consistency4/5

The overwhelming majority follow a consistent verb_noun snake_case pattern (list_*, get_*, create_*, set_*, run_*, test_*). Minor deviations like ad_status and marketplace_status (noun-based status tools) and koongo_knowledge break the pattern slightly, but the convention is clearly recognizable and predictable.

Tool Count1/5

At 105 tools, the surface is extreme and far beyond the 50+ threshold, even for a complex e-commerce integration domain. Much of the bloat comes from systematic triplication across ads, marketplaces, and feeds (e.g. three nearly identical map_*_attribute tools, three list_*_items, three get_*_report) that a generic resource parameter could have consolidated.

Completeness4/5

The toolset covers the full lifecycle of feeds, ads, marketplaces, order connections, rules, and imports, including create/read/update/delete, status monitoring, item-level actions, validation, repair, and restore. Minor gaps exist, such as no delete for standalone order connections and limited update capabilities for some entities, but these are workable and do not create dead ends for the core workflows.

Resources