Agent Handoff
Server Details
Pass messages between AI agents with cleaning, metadata enrichment, and metered billing.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- jordan23wagner-ops/agent-handoff
- GitHub Stars
- 0
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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 4.3/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: one is read-only for retrieving usage stats, the other is a metered operation for performing a handoff. There is no overlap or ambiguity between them.
Both tools use snake_case, but one is a verb (handoff) while the other is verb_noun (get_usage_stats). This minor inconsistency is offset by clear and predictable naming within a small set.
With only two tools, the server is lean and focused on its single purpose—agent handoff. Every tool earns its place, and there is no bloat or deficiency given the narrow domain.
The tool surface covers the full lifecycle for the server's purpose: a read operation to inspect handoff history and a write operation to execute handoffs. No obvious gaps exist for this utility.
Available Tools
2 toolsget_usage_statsAInspect
Return this account's total handoff count and the most recent handoffs. Read-only and not billed.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fully discloses two behavioral traits: read-only (no mutations) and not billed (no cost). This is sufficient for a zero-parameter tool. No additional behavioral claims are needed.
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, front-loaded with verb and resource, no extra words. Highly concise and structured.
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?
Description specifies what is returned (count and recent handoffs). Without output schema, it could be more specific about format or count limits, but the zero-parameter nature makes it fairly complete for its complexity.
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?
Zero parameters, so schema description coverage is 100%. The description does not add parameter info because none exist. Baseline score of 4 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?
Description clearly states the tool returns total handoff count and most recent handoffs. The verb 'Return' and specific resource make the purpose unambiguous. It distinguishes itself from sibling tool 'handoff' by being a stats retrieval.
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?
Description notes the tool is read-only and not billed, implying safe usage without side effects. While it doesn't explicitly contrast with 'handoff', the stateless nature is clear. No prerequisites or alternatives are mentioned, but the simplicity of the tool makes usage self-evident.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
handoffAInspect
Hand a message off to another agent. Cleans and normalizes the payload, stamps it with handoff metadata (id, timestamp, estimated tokens, target agent), and records the handoff. Use this when passing work or context from one agent to the next in a multi-agent pipeline. This is a metered, billable operation.
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | The payload to hand off. Accepts a plain string or a JSON object. Max 256 KB. | |
| next_agent | Yes | Name/identifier of the agent receiving this handoff. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description fully bears burden; discloses mutation (cleans, normalizes, records), metadata stamping, and billing. No contradictions.
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?
Four sentences, front-loaded with action, each adds value: operation, metadata, usage context, billing. No fluff.
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 moderate complexity, description covers operation, metadata, and usage well; could mention return or errors but not required.
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 both params described; description adds max size for message but little beyond schema, meeting baseline.
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?
Uses specific verb 'hand off' plus resource 'another agent', details actions (cleans, normalizes, stamps metadata), and distinguishes from sibling tool get_usage_stats.
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?
Explicitly says 'Use this when passing work or context from one agent to the next in a multi-agent pipeline.' and mentions it is metered/billable; no explicit exclusions but sibling is for stats, no overlap.
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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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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