call_toolCall a tool by name with the given arguments.
Use this to execute tools discovered via search_tools.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The name of the tool to call | |
| arguments | No | Arguments to pass to the tool |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already convey the important safety signal with destructiveHint=true, so the description does not need to restate it. The description adds context about search_tools provenance but does not explain that the effects and output depend on the named tool, leaving much of the behavioral burden on annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with the main action front-loaded. It is concise, relevant, and contains no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a generic dispatcher with a low-complexity schema and strong annotations, the description is nearly complete: it indicates what to call, what to pass, and how candidates are discovered. A minor gap is that it does not explicitly state that the result or side effects depend entirely on the selected target tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the description repeats what is already in the schema. It adds no guidance about how to construct the arguments object or where the allowed names come from, but the baseline is adequate because the schema already documents both parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb-resource action: 'Call a tool by name with the given arguments.' It also explicitly connects the tool to search_tools, distinguishing the invocation step from the discovery step.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It clearly says to use this tool for executing tools discovered via search_tools. It does not name when-not conditions or explicit alternatives beyond the implicit search_tools relationship, so it stops just short of full exclusion guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools are clearly separated by domain prefix, but several overlap: posts_publish_now duplicates posts_create's publish_now mode, posts_edit_post vs posts_update is confusing without reading both descriptions, and analytics_get_analytics broadly overlaps the more specific analytics metrics tools. The descriptions do help disambiguate, but the large number of similar post/analytics helpers still creates selection risk.
Most tools follow a readable lower_snake resource_verb format, with domains like accounts_, posts_, profiles_, and queue_. However, there is notable drift: redundant suffixes (queue_create_queue_slot, tracking_tags_get_tracking_tag_stats), singular/plural mismatch (account_groups_ vs accounts_), non-prefixed helpers (call_tool, search_tools, docs_search), and paired verbs that seem arbitrary (posts_edit_post vs posts_update). It is readable but not cleanly consistent.
51 tools is far above the range where an agent can quickly select the right one, and many entries are wrappers or variants: publish_now, edit_post, retry_all_failed, and multiple analytics/queue helpers could be consolidated. The broad domain justifies more tools than a tiny server, but this count is excessive and will add navigation overhead.
The server covers the core social media management lifecycle well: profiles, accounts, posts, scheduling, queueing, analytics, comments, mentions, media uploads, tracking tags, and usage billing are all represented. There are minor gaps—tracking tags are read-only, there is no direct account connection/disconnection flow, and published-post deletion is unsupported—but agents can complete the main workflows with these tools.