Skip to main content
Glama

Blueprint Agentic Staking (Solentic)

Set Autopilot Staking Policy

set_staking_policy

Hand Solentic a standing, signature-bound policy so it automatically stakes your IDLE SOL with Blueprint — zero custody. You sign the policy ONCE with your wallet key (Ed25519 over the exact canonical message below — NEVER your secret key). When idle SOL above keepLiquidSol exceeds minSweepSol, Solentic builds an UNSIGNED stake transaction and POSTs it to your callbackUrl for you to sign and submit; Solentic never holds your key. Native Solana stake already auto-compounds, so delegated rewards keep earning automatically. Amounts in the signed message are INTEGER LAMPORTS = round(SOL * 1e9), so there is no float ambiguity. Sign EXACTLY this newline-separated message, then pass the base58 signature: "solentic-autopilot-policy:v1\nwallet=\nkeepLiquidLamports=<round(keepLiquidSol*1e9)>\nminSweepLamports=<round(minSweepSol*1e9)>\ncallbackUrl=\npaused=<true|false>\nnonce=". nonce must strictly increase on each update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nonceYesStrictly increasing replay guard
pausedNoIf true, the policy is stored but inactive
signatureYesbase58 Ed25519 signature over the canonical policy message
callbackUrlYesHTTPS URL to receive unsigned stake transactions
minSweepSolYesOnly stake when idle surplus is at least this many SOL
keepLiquidSolYesSOL to always keep liquid (not staked)
walletAddressYesWallet whose idle SOL is managed

TDQS

A4.8/5.0
Behavior5/5

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

The description goes well beyond annotations by disclosing key behavioral traits: Solentic never holds the user's key, it builds an UNSIGNED transaction and POSTs it to callbackUrl, amounts are in integer lamports to avoid float ambiguity, and nonce must strictly increase. These details explain side effects and security guarantees, giving the agent a complete mental model of what happens on invocation.

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?

The description is long but every sentence earns its place. It starts with the core purpose, then explains the signing mechanism, the operational flow, the unit convention, and finally gives the exact canonical message. No redundant fluff; the structure leads from high-level to low-level details, making it efficient for an agent to parse.

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?

Given the tool's complexity (signature requirement, policy semantics, recurring behavior) and the absence of an output schema, the description is remarkably complete. It covers what the tool does, prerequisites (signing with Ed25519), the message format, conversion rules, callback behavior, and update semantics (nonce increase). No critical gaps remain for correct invocation.

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?

With 100% schema coverage, the baseline is 3, but the description adds substantial meaning by showing the exact canonical message format, the conversion rule (round(SOL*1e9)), and the role of each parameter within that message (wallet, amounts, callbackUrl, paused, nonce). It also clarifies that nonce must increase each update and that callbackUrl receives unsigned transactions—details not fully in the 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 clearly states the tool's function: 'Hand Solentic a standing, signature-bound policy so it automatically stakes your IDLE SOL with Blueprint.' This uses a specific verb ('hand', meaning set), names the resource (staking policy), and distinguishes it from sibling tools like delete_staking_policy, get_staking_policy, and stake by implying automatic recurring action.

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 provides clear context for when to use the tool: to set up automatic staking with ongoing policy enforcement. It implies this is for recurring automation rather than one-off staking (which could be done with 'stake'), but does not explicitly name alternatives or state when not to use it. The 'zero custody' and 'sign once' details clarify the operational model.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between the 'stake' and 'create_stake_transaction' tools, as well as between 'unstake' and 'create_unstake_transaction', and 'withdraw' and 'withdraw_stake', which could cause confusion. However, descriptions clearly differentiate between automated and advanced manual use cases, mitigating ambiguity.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern throughout, with clear and descriptive naming (e.g., check_balance, get_staking_summary, register_webhook). There are no deviations in style or convention, making the set highly predictable and readable.

Tool Count3/5

With 26 tools, the count is borderline high for the staking domain, potentially overwhelming for agents. While many tools provide specialized functionality, some could be consolidated (e.g., multiple transaction-building tools), making the set feel slightly heavy but still within a reasonable scope.

Completeness5/5

The toolset comprehensively covers the staking lifecycle, including address checking, balance queries, staking, unstaking, withdrawing, monitoring, simulation, and verification. There are no obvious gaps, and tools provide clear guidance and alternatives, ensuring agents can handle all necessary operations without dead ends.