AgentCron
Server Details
Persistent cron scheduler for AI agents. Schedule tasks that run even when your session ends — up to 30 days. Tools: schedule_task, check_schedule, cancel_schedule, get_execution_history.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.8/5 across 4 of 4 tools scored.
Each tool targets a distinct operation: scheduling, status check, cancellation, and history retrieval. There is no overlap or ambiguity between them.
All tools follow a consistent verb_noun pattern in snake_case (cancel_schedule, check_schedule, get_execution_history, schedule_task), making it predictable and clear.
Four tools cover the core schedule lifecycle tasks (create, read, delete) plus history. This is well-scoped for a cron scheduling service.
The set covers scheduling, status, history, and cancellation. However, there is no tool to update an existing schedule, forcing users to cancel and recreate. This minor gap prevents full CRUD coverage.
Available Tools
4 toolscancel_scheduleAInspect
Cancel an active cron schedule to stop all future executions immediately.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | No | Agent ID for ownership verification | |
| schedule_id | Yes | Schedule UUID to cancel |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Mentions immediate stoppage of future executions, but lacks details on reversibility, side effects on past executions, or required permissions.
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?
Single sentence that immediately conveys the action and result. No fluff or redundant information.
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 simple cancellation tool with two parameters, the description adequately covers the core functionality. Could mention whether cancellation is idempotent or if it affects execution history, but not essential.
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%, with both parameters already described. Description adds no extra semantic value beyond what the schema provides.
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?
Description clearly states the verb 'cancel' targeting 'active cron schedule', with the outcome 'stop all future executions immediately'. It is distinct from sibling tools like check_schedule or schedule_task.
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?
Implies the tool should be used when you want to stop future executions of an active schedule. No explicit when-not or alternatives, but siblings are sufficiently different, so usage context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_scheduleAInspect
Check the status of a cron schedule — is it active, when does it next run, how many times has it executed?
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | No | Alternatively list all schedules for this agent | |
| schedule_id | No | Schedule UUID from registration |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description provides some behavioral info (what it returns), but lacks details on idempotency, rate limiting, or whether parameters can be used together. It is minimally adequate.
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 a single sentence that front-loads the main purpose with no extraneous words, making it highly concise and easy to parse.
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?
Given the simple tool with two optional parameters and no output schema, the description partially explains the return values but does not clarify how to use parameters together or what happens when both are omitted.
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 coverage is 100% with descriptions for both parameters. The tool description adds no additional parameter guidance beyond the schema, so a baseline of 3 is appropriate.
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 clearly states the verb 'check' and the resource 'cron schedule', and lists specific status aspects (active, next run, execution count). It effectively distinguishes from siblings like cancel_schedule and schedule_task.
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?
The description implies the tool is used to inspect a schedule's status, but does not explicitly state when to use it over alternatives like get_execution_history or indicate prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_execution_historyAInspect
View recent execution history for a schedule — status codes, response previews, and timing.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of executions to return (max 50) | |
| schedule_id | Yes | Schedule UUID |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description bears the full burden. It implies a read-only operation ('View') and specifies returned data, but does not explicitly state that it is safe with no side effects, nor does it mention any behavioral traits like rate limits or required permissions.
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 a single, front-loaded sentence with no unnecessary words. It efficiently conveys the tool's purpose and return content.
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 simple read tool with 2 parameters and no output schema, the description covers the main purpose and return elements. However, it lacks details on ordering, pagination behavior beyond the limit, and whether results are filtered by time range (e.g., 'recent' is ambiguous).
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%; both parameters have clear descriptions (schedule_id as UUID, limit with max 50). The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.
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 clearly states the verb 'View' and the resource 'recent execution history for a schedule', listing specific return elements (status codes, response previews, timing). This distinguishes it from siblings like cancel_schedule, check_schedule, and schedule_task.
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?
No guidance on when to use this tool versus alternatives. It does not mention that it should be used for read-only history retrieval rather than scheduling or cancellation, nor does it specify prerequisites or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
schedule_taskAInspect
Register a persistent cron schedule that runs even when your agent session ends. Specify a URL to call, how often, and for how long.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | HTTPS URL to call on each execution | |
| body | No | Optional JSON body for POST requests | |
| method | No | HTTP method: GET or POST (default: GET) | GET |
| agent_id | Yes | Your agent identifier | |
| duration_days | No | How many days to keep running (max 30, default 7) | |
| interval_minutes | Yes | How often to run (minimum 15 minutes) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description bears full responsibility. It explains persistence and required inputs but lacks details on error handling, cancellation, or behavior on failure. This leaves gaps for an agent to fully understand consequences.
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?
Two sentences, front-loaded with the primary purpose, no wasted words. The description is appropriately sized for the tool's complexity.
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?
Given no output schema and no nested objects, the description adequately covers the tool's purpose and key parameters. It could include what the tool returns (e.g., confirmation or schedule ID), but remains functional without it.
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?
Input schema has 100% coverage with clear descriptions for all 6 parameters. The description adds little beyond summarizing the core inputs (URL, interval, duration), so it meets the baseline without adding extra meaning.
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 uses a specific verb 'Register' and clearly states the resource 'persistent cron schedule'. It distinguishes this creation tool from siblings (cancel_schedule, check_schedule, get_execution_history) by focusing on scheduling new tasks.
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?
The description highlights that schedules persist beyond the agent session, implicitly contrasting with non-persistent options. However, it does not explicitly state when not to use this tool or compare directly to siblings for one-off tasks.
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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